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  • RSS South West: Publication bias, and a model for sensitivity analysis

    No date given

    London, United Kingdom

    RSS South West: Publication bias, and a model for sensitivity analysis https://tess.elixir-europe.org/events/rss-south-west-publication-bias-and-a-model-for-sensitivity-analysis Speaker: John Copas, University of Warwick Abstract: Publication bias is a serious problem in the interpretation of reviews of the published literature. We will describe a relatively simple model for sensitivity analysis, based on empirical evidence that research studies giving significant results are more likely to be published. Some applications will be discussed.   Attendance is free and open to all, whether fellows of the RSS or not, but pre-registration is required.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Stochastic processes in finance and beyond

    No date given

    London, United Kingdom

    Stochastic processes in finance and beyond https://tess.elixir-europe.org/events/stochastic-processes-in-finance-and-beyond About the Event: This workshop will be part of a 5 days course based on parts of Søren Asmussen forthcoming book ‘Risk and Insurance: A Graduate Text’, co-authored with Mogens Steffensen, University of Copenhagen.    Agenda: 2.00-2.45: Ronnie Loeffen (University of Manchester) - Surplus processes with tax  2.45-3.30: Burak Buke (University of Edinburgh) - Many server queueing systems with random service rates 3.30-4.00: tea/coffee break  4.00-4.45: A. Ganesh (University of Bristol) -  Large deviations for Cox processes and infinite server queues, with a biological application  4.45-5.30: Soren Asmussen (Aarhus University) - Some applications of phase-type distributions to life insurance         Attendance is free and open to all, whether fellows of the RSS or not, but pre-registration is required.     Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Presenting Data

    No date given

    London, United Kingdom

    Presenting Data https://tess.elixir-europe.org/events/presenting-data-d6329a57-5d82-4734-a6b2-69850e4447f6 Presented by Ed Swires-Hennessy Level - Foundation CPD 6 hours This one day course illustrates the basic principles of presenting data in tables, charts, maps and text, equipping participants with the knowledge to disseminate statistical messages in clear, accurate and meaningful ways.     Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • ICQSBEI 2019 - 3rd International Conference on Quantitative, Social, Biomedical & Economic Issues

    No date given

    London, United Kingdom

    ICQSBEI 2019 - 3rd International Conference on Quantitative, Social, Biomedical & Economic Issues https://tess.elixir-europe.org/events/icqsbei-2019-3rd-international-conference-on-quantitative-social-biomedical-economic-issues Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS Lancashire and Cumbria: Workshop on Machine Learning in Astronomy

    No date given

    London, United Kingdom

    RSS Lancashire and Cumbria: Workshop on Machine Learning in Astronomy https://tess.elixir-europe.org/events/rss-lancashire-and-cumbria-workshop-on-machine-learning-in-astronomy About the event: The Royal Statistical Society section on Statistical Computing, and the Lancashire and Cumbria local group, are organising a one-day workshop on Machine Learning in Astronomy. This workshop is focused on the growing area of research in Astrostatistics and the application and Machine Learning techniques to answer scientific questions in Astronomy and Cosmology. In recent decades there has been an enormous increase in the volume and complexity of recorded astronomical data. To answer the many important scientific questions posed by the astronomical community, there is a need to develop efficient and objective scientific tools to exploit multifaceted astronomical datasets and to link these to astrophysical theory. Ongoing work in this area has already led to new statistical methods and machine learning techniques for classifying galaxies, discovering new pulsars and detecting of exoplanets.  This workshop will be held at Lancaster University between 1pm-6pm on 30th May 2019 in the Postgraduate Statistics Centre with presentations from: David van Dyk - Imperial College Chris Arridge - Lancaster University Florent Leclercq - Imperial College London  Ingo Waldmann  - UCL This workshop is a half-day event which aims to bring together academics and students interested in the research challenges that lie at the interface between Astronomy and Data Analysis. There will be a poster session and wine reception sponsored by the RSS local group at the end of the workshop. Attendance at the workshop is free, but registration is required via the following link  https://ti.to/royal-statistical-society-lancashire-and-cumbria/machine-learning-in-astronomy A schedule for the event is given below. Titles and abstracts will follow. Schedule 13:00 - 13:15 - Opening and introductions 13:15 - 14:00 - David van Dyk (Imperial College) 14:00 - 14:45 - Chris Arridge (Lancaster University) 14:45 - 15:15 - Coffee break 15:15 - 16:00 - Florent Leclercq (Imperial College) 16:00 - 16:45 - Ingo Waldmann (UCL) 16:45            - Wrap-up and close  16:45 - 18:00 - Wine reception and poster session The event is free to attend, but attendees must register for in advance:     Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • PSI 2019 Annual Conference: Data Driven Decision Making in Medical Research

    No date given

    London, United Kingdom

    PSI 2019 Annual Conference: Data Driven Decision Making in Medical Research https://tess.elixir-europe.org/events/psi-2019-annual-conference-data-driven-decision-making-in-medical-research The conference will consist of a variety of plenary and parallel sessions, as well as breakout discussion sessions, workshops, a poster session and the Annual General Meeting. Sessions will include early phase innovative trial design, industry best practice - 10 years on, statistical issues in safety drug labelling, model based dose finding designs, an update from Transcelerate and much more, with speakers from industry, academia and regulatory agencies.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Basic Statistics (Understanding and analysing data)

    No date given

    London, United Kingdom

    Basic Statistics (Understanding and analysing data) https://tess.elixir-europe.org/events/basic-statistics-understanding-and-analysing-data-51ae9706-bc38-4c2e-a462-f9aab58a3596 Presented by Ellen Marshall Level - Foundation CPD 12 hours This two day course aims to help delegates understand some basic statistical concepts and develop a strategy for approaching a simple data analysis.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Joint RSS Highland Group - St Andrews meeting

    No date given

    London, United Kingdom

    Joint RSS Highland Group - St Andrews meeting https://tess.elixir-europe.org/events/joint-rss-highland-group-st-andrews-meeting Abstracts:   Theresa Smith, Bath   Title: A stratified age-period-cohort model for spatial heterogeneity in all-cause mortality   Summary: A common goal in modelling demographic rates is to compare two or more groups. For example comparing mortality rates between men and women or between geographic regions may reveal health inequalities. A popular class of models for all-cause mortality as well as incidence of specific diseases like cancer is the age-period-cohort (APC) model. Extending this model to the multivariate setting is not straightforward, because the univariate APC model suffers from well-known identifiability problems. Often APC models are fit separately for each stratum, and then comparisons are made post hoc. A stratified APC model is introduced to directly assess the sources of heterogeneity in mortality rates using a Bayesian hierarchical model with matrix-normal priors that share information on linear and nonlinear aspects of the APC effects across strata. Computing, model selection, and prior specification are addressed and the model is then applied to all-cause mortality data from the European Union.     Ruwanthi Kolamunnage-Dona   Title: Joint modelling of longitudinal data and event-times with applications in health research   Abstract: Joint modelling of longitudinal data and event-time processes has gained its popularity in last decade as they yield more accurate and precise estimates. However, adopting this framework in health research has been limited. For example, in many clinical trials with longitudinal outcome data, a common situation is where some patients withdraw or dropout from the trial before completing the measurement schedule but the dropout may be non-ignorable. In such cases, the longitudinal outcome data alone may not reflect a genuine change over time, it may be an artefact caused by selective dropout, which could result in a biased comparison between the treatment groups.  In other research, a relatively large number of quantities such as biomarkers are measured over patients’ follow-up over time to fully explore the damage caused by adverse clinical events, and harnessing all such information in a single model could lead to improved estimation and prediction. In this talk, the methodology of joint modelling and its advances for competing risks and multiple longitudinal outcomes will be discussed with real applications in health research.     Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Getting Engaged Statistically – How Business and Academia Create Knowledge Transfer Partnerships (KTPs)

    No date given

    London, United Kingdom

    Getting Engaged Statistically – How Business and Academia Create Knowledge Transfer Partnerships (KTPs) https://tess.elixir-europe.org/events/getting-engaged-statistically-how-business-and-academia-create-knowledge-transfer-partnerships-ktps About the event: Presenter: Gerry O'Hagan (Knowledge Transfer Adviser, Knowledge Transfer Network) “Knowledge Transfer Partnerships: Accelerating Innovation” The Knowledge Transfer Partnership programme has been supporting business led innovation for more than 40 years. The programme aims to stimulate economic growth for the UK economy by facilitating the transfer of knowledge and skills from the research base into organisations to create new value and embed new capabilities. Gerry O'Hagan is a Knowledge Transfer Advisor with the Knowledge Transfer Network focusing primarily on supporting the KTP programme. He has a background in senior executive roles in business and non-executive roles in universities, experience which provides a perspective on the expectations and priorities for the stakeholders in the partnerships.   Presenter: Dan Walker (KTP Associate, Newcastle University) “KTPs: Data Science in a Large Business” ENGIE is a large global company with 160,000 employees in over 70 countries. They are a provider of energy and services focusing on production and supply of energy, facilities management and regeneration. There are large quantities of data available and a desire to become more skilled in the way that the data is used. Knowledge transfer partnerships is a scheme funded by Innovate UK. They are designed to embed technical knowledge into the company through the associate’s work by linking up with experienced academics at the university. This short talk will give a general overview of KTP’s and explain some examples of how a data science KTP has been beneficial to ENGIE. Dan Walker is a data scientist at Newcastle University as part of a knowledge transfer partnership with ENGIE Services UK. He graduated from the same university in 2018 with an MSc in Mathematics and Statistics. In his work, he combines statistical techniques with some machine learning to solve a variety of business problems.   Presenter: Josh Myrans (KTP Associate, University of Exeter) “KTPs: case study -  Automated detection of sewer faults”  Every year water companies in the UK must survey thousands of kilometres of their sewer systems. This enables the effective management and maintenance of the network to avoid costly failures and pollution events. South West Water has entered a KTP with the University of Exeter to develop and deploy computer vision technologies capable of improving the accuracy and efficiency of the CCTV surveying practice. This talk will give an outline of the developed fault detection technology, discussing some of the key machine learning components whilst looking at how exactly the project fits into the KTP structure. Josh Myrans is a Data Scientist at the University of Exeter partnered with the UK water company: South West Water. He graduated from the University of Exeter in 2014 with a BSc in computer Science and Mathematics, before continuing to complete his PhD in Water Informatics Engineering in 2018 (also at Exeter University). Josh has been working within South West Water as a KTP associate since November 2018, where he continues to develop his postgraduate research for practical application within the water industry.   Attendance is free and open to all, but pre-registration is required.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • The art of statistics and how to avoid being misled by numbers

    No date given

    London, United Kingdom

    The art of statistics and how to avoid being misled by numbers https://tess.elixir-europe.org/events/the-art-of-statistics-and-how-to-avoid-being-misled-by-numbers Abstract:   Join us for an event marking the recent launches of “The Art of Statistics” by Sir David Spiegelhalter and “Statistical: Ten Easy Ways to Avoid Being Misled By Numbers” by Anthony Reuben.   Sir David and Anthony will be joined by writer, comedian and broadcaster Timandra Harkness for what promised to be a lively discussion surrounding the two new books and the subject of statistics.   Sir David Spiegelhalter is a former President of the Royal Statistical Society and the current Winton Professor for the Public Understanding of Risk at the University of Cambridge. Sir David works to improve the way in which risk and statistical evidence are taught and discussed in society. He gives many presentations to schools and others, advises organisations on risk communication, and is a regular commentator on risk issues. He presented the BBC4 documentaries ‘Tails You Win: The Science of Chance’ and the award-winning ‘Climate Change by Numbers’.   Anthony Reuben was the BBC's first head of statistics and now works on the corporation's Reality Check strand, which he helped to create. Anthony has been a journalist for 24 years and has twice won the RSS award for statistical excellence in journalism. “Statistical" is his first book.   The Art of Statistics   In "The Art of Statistics", David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial.   “Spiegelhalter’s work serves as a reminder that there are passionate, self-aware statisticians who can argue eloquently that their discipline is needed now more than ever.” Financial Times    Statistical: Ten Easy Ways to Avoid Being Misled By Numbers   How do we distinguish statistical fact from fiction? What can we do to decide whether a number, claim or news story is accurate? Without an understanding of data, we cannot truly understand what is going on in the world around us.   Written by Anthony Reuben, a current RSS fellow, "Statistical" is an accessible and empowering guide to challenging the numbers all around us.   "Refreshingly clear and engaging." Tim Harford   This event will be followed by a Drinks Reception. Tea and coffee alongside registration will be open from 18.15pm   Attendance is free and open to all, whether fellows of the RSS or not, but pre-registration is required   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Data for Policy 2019: Digital Trust and Personal Data

    No date given

    London, United Kingdom

    Data for Policy 2019: Digital Trust and Personal Data https://tess.elixir-europe.org/events/data-for-policy-2019-digital-trust-and-personal-data Data science technologies, pioneered in the private sector, are now ripe for transforming the public sector. However, both government policy and technology providers need to address two pressing public concerns: DIGITAL TRUST (privacy and security) and PERSONAL DATA (ownership and beneficial exploitation). The impact from ‘smartification’ of public infrastructure and services will be far more significant in comparison to any other sector given the government’s function and importance to every individual and institution. Potential applications range from public engagement through natural text and speech Chatbots, to providing decision support for civil servants via AI-based Robo-advisors, to real-time management of the public infrastructure through the Internet of Things and blockchain, to securing public records using distributed ledgers, and, encoding and codifying laws using smart contracts.  However, in many cases current uses of automated decision-making systems have been shown to cause adverse impacts on important life events of individuals – examples range from bias in recruitment of job-applicants, to credit scoring in loans and insurance, and to sentencing of criminals. Also, state surveillance and manipulation of voter behaviour have become the early examples of how such developments may amplify the asymmetry of power (between citizen and those utilising such technologies) causing severe damage to the democratic processes. The Bitcoin ‘hype’, with its correlating energy usage, has also shown the environmental cost of the highly complex computations, as well as indicating other potential unpredicted and unintended consequences.  On the other hand, the cost of not using – or the slow uptake of – data science technologies in the public sector is also potentially huge, given that all other aspects of our lives are changing fast under the ongoing digital revolution. It then follows that the stakes could be much higher in both the use and the avoidance of these technologies for public decision making and service delivery. This will require a careful cost/benefit analysis before implementation at scale. The fourth conference in the Data for Policy series therefore highlights ‘Digital Trust and Personal Data’ as its main theme. The conference will also welcome contributions in the broader data science for government and policy discussions. In particular, submissions around the value and harm of using data in the public sector, deployment experience in government, ‘digital ethics’ and ‘ethics engineering’ concepts, personal data sharing frameworks and technologies, transparency in machine learning processes, analytics at source, and secure data transaction methodologies are encouraged. Important Dates: Submission Deadline for Extended Abstracts           28 January 2019 Notification of Acceptance                                         4 March 2019 Registration Deadline for Presenters                         8 April 2019 Deadline for Discussion Paper submissions             13 May 2019 Registration Deadline for Public                                31 May 2019 (may close earlier if all places are taken) Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS Reading: Measuring Women Empowerment

    No date given

    London, United Kingdom

    RSS Reading: Measuring Women Empowerment https://tess.elixir-europe.org/events/rss-reading-measuring-women-empowerment Speaker: Geoffrey Darnton CStat, FSS About the event: This discussion is based on and takes forward in a statistical focus the paper “A Practical Approach for Measuring Women’s Empowerment” presented at ICGR 2019[1] (by coincidence, ICGR 2020 will be held at Reading University). Noor Abu Jbara is the principal author of the original paper; this discussion takes forward statistical issues. My approach in this discussion is from a Social Statistics angle, not theoretical statistics, so it should be of interest and understandable to those who do not have a mathematical or statistical background. It is concerned with social relevance and applicability informed by statistical principles and approaches. The discussion starts with brief points about a contemporary serious issue of confusion and muddles over the use of the terms “sex” and “gender”. The key point is that those terms should not be confused and used interchangeably because of differences in levels and scales of measurement. Simple statistical principles help to resolve this muddle. Many examples of a clear distinction are available in legislation and many administrative processes. It is intriguing that many drafters of legislation are not muddled, but many academics are! Schedule 18:00 - Tea/Coffee and refreshments 18:30 - Talk 19:30 - Questions and final remarks Registration Attendance  is free and open to all, but pre-registration is required Please contact us if you have any additional access needs or dietary requirements. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Analytics Summit

    No date given

    London, United Kingdom

    Analytics Summit https://tess.elixir-europe.org/events/analytics-summit The Annual Analytics Summit brings together speakers and exhibitors from the very cutting edge of analytics to deliver a one-day event that is a one-stop shop for learning about how big data and analytics are shaping the future of organisational decision making. Filled with case studies, new innovations, and strategies on how to turn data to effective decisions the Annual Analytics Summit is an event not to be missed. The aim of this event is to demonstrate, by way of case examples, how developments in analytics are leading to increased competitive advantage. The programme will present case studies in the morning that will be business-relevant and highlight the value creation opportunities of analytics. Afternoon workshops will give delegates the opportunity to find out details about particular techniques or methodologies used. Sign up before 30 April 2019 to benefit from an early bird discount.  Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Data Visualisation

    No date given

    London, United Kingdom

    Data Visualisation https://tess.elixir-europe.org/events/data-visualisation-c8078863-4428-4ab8-917c-f78e7e547888 Presented by Alan Smith Level - Foundation CPD 12 hours This introductory course provides the background context, essential theory and practical guidance needed to develop confidence in using data visualisation effectively.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Standing up for Science workshop

    No date given

    London, United Kingdom

    Standing up for Science workshop https://tess.elixir-europe.org/events/standing-up-for-science-workshop-59f2ee4e-edbf-4004-b4b9-5056b8ed266d   Join us to find out how to make your voice heard in public debates about science and evidence. Apply now.  Meet researchers who have engaged with the media, learn from policymakers about why good evidence is important for them and how researchers can help to inform policy. Respected science journalists will talk about how the media works, how to respond and comment, and what journalists expect from scientists and researchers. Get hints and tips from communications experts on how you can start standing up for science, and find out how to involve the public in communicating research. FREE for STEM and social science early-career researchers, trainees and medical professionals. Deadline for applications: 17:00 on Friday, 17th May.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS Glasgow: The Storm of the Century! Using data to anticipate extreme climate events

    No date given

    London, United Kingdom

    RSS Glasgow: The Storm of the Century! Using data to anticipate extreme climate events https://tess.elixir-europe.org/events/rss-glasgow-the-storm-of-the-century-using-data-to-anticipate-extreme-climate-events Join us for an interactive talk with the Royal Statistical Society's Guy Lecturer, Dr Lee Fawcett, to explore and anticipate, using data analytics, extreme climate events through activities and using a web-based app. Target age: S4-S6 Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • The Data Book Club - The Art of Statistics with Sir David Spiegelhalter

    No date given

    London, United Kingdom

    The Data Book Club - The Art of Statistics with Sir David Spiegelhalter https://tess.elixir-europe.org/events/the-data-book-club-the-art-of-statistics-with-sir-david-spiegelhalter How many trees are there on the planet? Do busier hospitals have higher survival rates? Who was the luckiest passenger on the Titanic? Could Harold Shipman have been caught sooner? We live in an age of ‘big data’, with more information than ever before. But the sheer quantity of data can make it even more difficult to draw reliable conclusions from the numbers. In our latest Data Book Club event, we'll be hearing from Sir David Spiegelhalter about his book The Art of Statistics. The book guides us through the essential principles we need in order to derive knowledge from data, showing us why data can never speak for itself. Our new faith in big data is so often misplaced, he argues, and without the intervention of human creativity and questioning, data remains mute and our statistics flawed. Drawing on real world examples from current science and the media, his own career and the distance past, Spiegelhalter shows us how statistics can help us determine the signal from the noise. Sir David Spiegelhalter is a British statistician and Chair of the Winton Centre for Risk and Evidence Communication in the Statistical Laboratory at the University of Cambridge. Spiegelhalter is one of the most cited and influential researchers in his field, and was elected as President of the Royal Statistical Society for 2017-18. As a statistician he was called to give evidence at the public inquiry into Dr Harold Shipman, which concluded the extent of his victims. Ticket includes chance to hear Sir David talk about the book as well as a copy of 'The Art of Statistics'. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • ESWG seminar: Exploring Regional Statistics

    No date given

    London, United Kingdom

    ESWG seminar: Exploring Regional Statistics https://tess.elixir-europe.org/events/eswg-seminar-exploring-regional-statistics The Economic Statistics Working Group (ESWG) is hosting a free afternoon seminar focusing on regional statistics. This session gives the opportunity to hear from users of data at a regional level, Chaired by Dev Virdee, the keynote speakers will be Richard Kneller (Nottingham University) and Sandy Stewart (Scottish Government) with further speakers to be confirmed. This event follows a morning session from the ONS Economic Forum who will present an update on the UK economy and present analysis on statistics at a regional level. This will also include an opportunity to hear about exciting developments with transformation of local area statistics being undertaken by ONS. Delegates are invited to one or both sessions. Lunch and refreshments will be provided. Please register at https://www.eventbrite.co.uk/e/exploring-regional-statistics-edinburgh-tickets-61990736963   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Challenges and Opportunities of Data and Statistical Methods in Heath Research and Practice

    No date given

    London, United Kingdom

    Challenges and Opportunities of Data and Statistical Methods in Heath Research and Practice https://tess.elixir-europe.org/events/challenges-and-opportunities-of-data-and-statistical-methods-in-heath-research-and-practice This event is being held in honour of Professor Doug Altman and will be chaired by Martin Bland Speakers: Toby Prevost: “Analysis of serial measurements in medical research and in clinical trials” Abstract: In an article published in the BMJ in 1990 (now cited >2400 times), Matthews, Altman and colleagues considered the analysis of serial measurements in medical research and recommended a two-stage approach based on summary measures. In this talk, I will describe the major themes in the article and their application to the design of a clinical trial. Briefly, parallels will be drawn between the role of summary measures in trials of individual and cluster randomised designs, and between analysis by summary measures and by mixed models. Reference: Matthews JN, Altman DG, Campbell MJ, Royston P. Analysis of serial measurements in medical research. BMJ 1990;300:230-5 Mark Ashworth: “Some Problems with Primary Care Data” Abstract: Primary care is a rich source of statistical data. It is also a source of considerable problems for the purposes of statistical analyses. I will give examples of where ‘big data’ from primary care may produce misleading data outputs.  I will discuss three national sources of primary care data, CPRD, THIN and data from the Royal College of General Practitioners’ monitoring practices, comparing their data formats and their use as assets for data analyses. I will contrast this with locally available patient-level data such as Lambeth DataNet. Numeric estimates may improve communication and risk perception in general practice. We get different perspectives when risk perception is based on NNT, Absolute Risk, or the still predominant use of Relative Risk, in making clinical decisions. We also need to exercise caution in basing health service decisions on univariable rather than multivariate data in primary care. I will give examples of where decisions have been made using misleading data. Finally, I will be looking at the use of primary care data analyses from the perspective of patient care in primary care. GPs use data for the communication of risk, balancing evidence-based medicine with patient preference, and I will give examples applying this to breast cancer, prostate cancer and CVD risk. I will then use these arguments to pose the question of why rational patients may reject statistically based advice? Camila Caiado: “Developing Planning Tools for GP Practices: Using Population and Health Care Records” Abstract: We are constructing models and apps that provide health providers and local authorities with powerful tools for better decision making and planning. An app has been developed with GP practices for predicting patient flows and behaviour and help health providers to understand and prepare for both current and future demands. The app also allows managers and clinical teams to see projections of GP practice activity with different population growth scenarios. Gary Collins: “ISSUES on Prognosis and Prediction in Medical Research” Abstract: Decisions are routinely made by healthcare professionals on the basis of an estimated probability for diagnosis and prognosis. Models which combine multiple predictors are used as a basis for estimating this probability. A number of models are now embedded in general practice software, such as the QRISK model for predicting the 10-year risk of developing cardiovascular disease.  Traditionally, prediction models have been developed using regression based approaches such as logistic or Cox regression depending on the outcome being predicted. More recently, there has been a surge in interest in using modern approaches under the umbrella term of machine learning. The interest and uptake in machine learning is often accompanied with enthusiastic claims that they can provide superior predictive accuracy over traditional approaches, however recent systematic reviews have highlighted various shortcomings in the design, conduct and reporting of these comparative studies.   In this talk I will discuss, with examples, some of the challenges in developing and validating prediction models using both traditional and machine learning approaches.  I will also critically highlight some of the more common methodological, terminology and reporting issues encountered in prediction models studies.   Attendance is free and open to all, but pre-registration is required. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS West Midlands: Anthropomorphic Learning

    No date given

    London, United Kingdom

    RSS West Midlands: Anthropomorphic Learning https://tess.elixir-europe.org/events/rss-west-midlands-anthropomorphic-learning Speaker: Ganna Pogrebna (University of Birmingham) Understanding and modelling human behaviour is one of the major tasks facing industry and academia of the future. This task is especially important when we consider interactions between humans and technology. Decision support systems, suggestion systems, automation, etc. – all these technologically intense aspects of human life require accurate predictions of what people like, what people prefer, and where people need help of automated agents. Under these circumstances, recent advances in computer science, statistics, and mathematics offer several methods which try to model human behaviour. Specifically, the methodology of machine learning and, more recently, deep learning allows us to generate predictions useful for many different facets of human life. Yet, there are many aspects of human life and decision making where machine learning and deep learning fail to provide reliable and accurate results. One of the most notorious examples is suggestion systems: many of us regularly shop online using different platforms (such as Amazon) and receive suggestions for future purchases. Yet, very few of us find these suggestions helpful. One of the reasons why AI fails in many cases to correctly anticipate human behaviour is that AI algorithms tend to ignore existing insights from decision theory and behavioural science. By combining behavioural science models with AI algorithms, we are able to significantly improve and simplify predictions of human behaviour in a wide variety of contexts. The resulting methodology which we label anthropomorphic learning allows us to develop more functional systems which better understand humans. This methodology is explainable, traceable, requires smaller training sets and, generally, outperforms existing algorithms by generating more accurate predictions. About the speaker: Ganna is a Professor of Behavioral Economics and Data Science at the University of Birmingham and a Fellow at the Alan Turing Institute. She is also a Turing Lead for the University of Birmingham and a Behavioral Data Science Lead at the Alan Turing Institute. Blending behavioral science, computer science, data analytics, engineering, and business model innovation, Ganna helps businesses, charities, cities, and individuals to better understand why they make decisions they make and how they can optimize their behavior to achieve higher profit, better (cyber)security, more desirable social outcomes, as well as flourish and bolster their well-being. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • How are we doing? Measuring personal and economic wellbeing

    No date given

    London, United Kingdom

    How are we doing? Measuring personal and economic wellbeing https://tess.elixir-europe.org/events/how-are-we-doing-measuring-personal-and-economic-wellbeing Speakers: Ed Pyle & Sunny Sidhu (Office for National Statistics) GDP is without question one of our most important economic indicators. It tells us about the size and shape of the economy. It helps the Government and the Bank of England manage the economy, for example informing us about the likely development of the public finances. GDP is, however, incomplete. It is often, and incorrectly, used as an all-encompassing proxy for people’s living standards, something it was never designed for and which it doesn’t fully capture.   This leads onto the GDP and beyond agenda, developing more inclusive measures to capture the environment and social aspects of progress. Indeed, such is the complexity of well-being, covering current economic, social and environmental welfare, arguably no single measure can hope to capture it in its entirety. Instead, what is needed is a series of indicators, covering both overall levels and inequalities in these different areas to give a more complete picture of how we’re all doing.   As part of this agenda, one of the most fundamental questions that the ONS wellbeing team tries to address is ‘how are we doing’?’, as individuals, as communities and as a country. In this presentation, we will discuss how we measure personal and economic wellbeing, and the factors that may have an impact on our wellbeing.     Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • PSI One Day Meeting, South West: Designing and Analysing Adaptive Trial Design Studies

    No date given

    London, United Kingdom

    PSI One Day Meeting, South West: Designing and Analysing Adaptive Trial Design Studies https://tess.elixir-europe.org/events/psi-one-day-meeting-south-west-designing-and-analysing-adaptive-trial-design-studies Adaptive designs are clinical trials that allow for prospectively planned modifications to one or more aspects of the design based on accumulating data from subjects in the trial and can provide a number of advantages over non-adaptive designs.  During this meeting we will hear about adaptive sample allocation for phase II/III designs, a new CONSORT extension reporting guideline for adaptive designs, regulatory aspects and case studies. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS President's Address 2019 - Pigeon-holes and mustard seeds: Growing capacity to use data for society

    No date given

    London, United Kingdom

    RSS President's Address 2019 - Pigeon-holes and mustard seeds: Growing capacity to use data for society https://tess.elixir-europe.org/events/rss-president-s-address-2019-pigeon-holes-and-mustard-seeds-growing-capacity-to-use-data-for-society Speaker: Society's President Professor Deborah Ashby About the event: The Royal Statistical Society was founded to address social problems ‘through the collection and classification of facts’, leading to many developments in the collection of data, the development of methods for analysing them, and the development of statistics as a profession. Nearly 200 years later an explosion in computational power has led, in turn, to an explosion in data. We outline the challenges and the actions needed to exploit that data for the public good, and to address the step change in statistical skills and capacity development necessary to enable our vision of a world where data are at the heart of understanding and decision-making. The Address will be followed by a wine reception. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Introduction to modern Generalized Additive Models in R

    No date given

    London, United Kingdom

    Introduction to modern Generalized Additive Models in R https://tess.elixir-europe.org/events/introduction-to-modern-generalized-additive-models-in-r-ee07c62f-ac06-4159-8a7f-3dbcc7e7c981 Presenter - Dr. Matteo Fasiolo Presenter - Prof. Simon Wood Level - Professional CPD 6 hours Generalized Additive Models (GAMs) are an extension of traditional regression models. Attendees will gain an understanding of what GAM models are, when they are useful and how they can be used to perforn statistical analysis, for inferential or predictive purposes. For those who already have some experience using GAMs will learn about the new Big Data and visual GAM methods, as well as GAMLSS models and quantile GAMs. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Challenges and Opportunities of Data and Statistical Methods in Health Research and Practice

    No date given

    London, United Kingdom

    Challenges and Opportunities of Data and Statistical Methods in Health Research and Practice https://tess.elixir-europe.org/events/challenges-and-opportunities-of-data-and-statistical-methods-in-health-research-and-practice This event is being held in honour of Professor Doug Altman and will be chaired by Martin Bland Speakers: Toby Prevost: “Analysis of serial measurements in medical research and in clinical trials” Abstract: In an article published in the BMJ in 1990 (now cited >2400 times), Matthews, Altman and colleagues considered the analysis of serial measurements in medical research and recommended a two-stage approach based on summary measures. In this talk, I will describe the major themes in the article and their application to the design of a clinical trial. Briefly, parallels will be drawn between the role of summary measures in trials of individual and cluster randomised designs, and between analysis by summary measures and by mixed models. Reference: Matthews JN, Altman DG, Campbell MJ, Royston P. Analysis of serial measurements in medical research. BMJ 1990;300:230-5 Mark Ashworth: “Some Problems with Primary Care Data” Abstract: Primary care is a rich source of statistical data. It is also a source of considerable problems for the purposes of statistical analyses. I will give examples of where ‘big data’ from primary care may produce misleading data outputs.  I will discuss three national sources of primary care data, CPRD, THIN and data from the Royal College of General Practitioners’ monitoring practices, comparing their data formats and their use as assets for data analyses. I will contrast this with locally available patient-level data such as Lambeth DataNet. Numeric estimates may improve communication and risk perception in general practice. We get different perspectives when risk perception is based on NNT, Absolute Risk, or the still predominant use of Relative Risk, in making clinical decisions. We also need to exercise caution in basing health service decisions on univariable rather than multivariate data in primary care. I will give examples of where decisions have been made using misleading data. Finally, I will be looking at the use of primary care data analyses from the perspective of patient care in primary care. GPs use data for the communication of risk, balancing evidence-based medicine with patient preference, and I will give examples applying this to breast cancer, prostate cancer and CVD risk. I will then use these arguments to pose the question of why rational patients may reject statistically based advice? Camila Caiado: “Developing Planning Tools for GP Practices: Using Population and Health Care Records” Abstract: We are constructing models and apps that provide health providers and local authorities with powerful tools for better decision making and planning. An app has been developed with GP practices for predicting patient flows and behaviour and help health providers to understand and prepare for both current and future demands. The app also allows managers and clinical teams to see projections of GP practice activity with different population growth scenarios. Gary Collins: “ISSUES on Prognosis and Prediction in Medical Research” Abstract: Decisions are routinely made by healthcare professionals on the basis of an estimated probability for diagnosis and prognosis. Models which combine multiple predictors are used as a basis for estimating this probability. A number of models are now embedded in general practice software, such as the QRISK model for predicting the 10-year risk of developing cardiovascular disease.  Traditionally, prediction models have been developed using regression based approaches such as logistic or Cox regression depending on the outcome being predicted. More recently, there has been a surge in interest in using modern approaches under the umbrella term of machine learning. The interest and uptake in machine learning is often accompanied with enthusiastic claims that they can provide superior predictive accuracy over traditional approaches, however recent systematic reviews have highlighted various shortcomings in the design, conduct and reporting of these comparative studies.   In this talk I will discuss, with examples, some of the challenges in developing and validating prediction models using both traditional and machine learning approaches.  I will also critically highlight some of the more common methodological, terminology and reporting issues encountered in prediction models studies.   Attendance is free and open to all, but pre-registration is required. Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • RSS Professional Affairs Committee: The Future of Statistics Degrees

    No date given

    London, United Kingdom

    RSS Professional Affairs Committee: The Future of Statistics Degrees https://tess.elixir-europe.org/events/rss-professional-affairs-committee-the-future-of-statistics-degrees About the Event: Science, universities, R&D, the economy and much of society are all being transformed by the production, collection, dissemination and analysis of data on an unprecedented scale. Most academic disciplines now depend upon the routine analysis of data. Many disciplines now deal with volumes of data too vast for direct human inspection. Technology now allows almost any process to capture and generate data. Data science is opening up new models of scientific research that design in reproducibility and meta-analysis from the start. The volume of data created as a by-product of administrative procedures, economic transactions or social media behaviour is growing exponentially creating new opportunities to develop knowledge, new risks to the right to privacy and new questions about the ethical use or sharing of information. Governments, commercial organisations and civil society organisations increasingly look towards data to provide information, answer questions, or create value. These changes make statistics and data analysis both more ubiquitous and more diverse. Inference from randomised samples to target populations is still important, but so too are skills such as data wrangling, management, reduction and analysis that new forms of evidence required. A growing proportion of those working with data, in academia, R&D, government or the private sector may have had little formal training in statistics, yet statistical knowledge will be vital to the quality of the decisions they make. To the extent that data becomes relevant to every aspect of life, then ethics, confidentiality and privacy become much more important issues for statisticians. This workshop event will discuss how statistics education can best be configured delivered to and accredited to meet these challenges. The Society does not wish to prescribe any single solution. The diversification of statistics degrees is a healthy reflection of the growing demand for these skills as well as their changing nature. However, diversity must always be matched by rigour, so that employers and others know what to expect from a graduate statistician. We recognise too that developing statistical expertise does not stop at graduation and that those who do statistical work or analyse data are not confined to professionally qualified statisticians. The workshop will discuss and review the changes we propose to our accreditation and professional recognition work. • A new definition of the learning outcomes for a statistics graduate.  • A new route to Gradstat status based on professional competence • Quality marks for all statistics education, at any level, from any provider • A new route into professional statistics via the Data Analyst award. Speakers include: Ed Humpherson, director of regulation at the UK Statistics Authority Sharon Witherspoon CBE, RSS Vice President for Education Jennifer Panting, Royal Society Download: Participant info.docx Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • methods@manchester Summer School

    No date given

    London, United Kingdom

    methods@manchester Summer School https://tess.elixir-europe.org/events/methods-manchester-summer-school Methods@manchester is delighted to be holding its annual Summer School from 1-12 July 2019.   The Summer School offers a range of specialised courses covering a variety of topics that are particularly relevant to postgraduate and ECR research in humanities. The selection includes software training as well as qualitative and quantitative analysis. The course content is based on approaches from across the various schools in the Faculty of Humanities at the University of Manchester.   Each Summer School course will run for one week, delivering four days of content to a five-day timetable (Monday afternoon to Friday lunch-time), building on successful methods@manchester and CMIST short-courses given throughout the year.   Bursaries We have a small number of subsidised places for PhD students, reducing the cost of a course to £300*. To apply or for further details please email contact methods@manchester.ac.uk for an application form confirming the course you are applying for. *with the exception of Introduction to Longitudinal Data Analysis using R which will be reduced to £375.   Available courses: Creative approaches to qualitative research (1-5 July 2019) Introduction to Social Network Analysis using UCINET and Netdraw (1-5 July 2019) Getting started in R: an introduction to data analysis and visualisation (1-5 July 2019) Generalized linear models: a comprehensive system of analysis and graphics using R and the Rcommander (1-5 July 2019) Research Methods in Political Economy (1-5 July 2019) Introduction to Arc Pro (8-12 July 2019) Introduction to longitudinal data analysis using R (8-12 July 2019) Advanced social network analysis (8-12 July 2019) Data Visualisation (8-12 July 2019) Quantitative policy evaluation (8-12 July 2019) Further information about the courses: https://www.methods.manchester.ac.uk/connect/events/summer-school-2019/courses/  Bursary applications may be made to methods@manchester.ac.uk Full details about the methods@manchester Summer School are available at the methods@manchester website.   Click here to see the highlights of our 2018 event: https://www.youtube.com/watch?v=7NMRbnvW5Q8&feature=youtu.be    Methods@Manchester  https://www.methods.manchester.ac.uk/ <   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • Interactive Dashboards & Web Apps using R & Shiny

    No date given

    London, United Kingdom

    Interactive Dashboards & Web Apps using R & Shiny https://tess.elixir-europe.org/events/interactive-dashboards-web-apps-using-r-shiny-32155b0e-c496-4b65-82c3-8cf8b464d3f6 Martin John Hadley Level - Professional CPD 12 hours This course will introduce how to create interactive dashboards and web applications using R and Shiny. It will also cover how to design responsive webs applications that seamlessly work on mobile devices.   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • 2019 Annual Meeting for Teachers of Medical Statistics ('Burwalls')

    No date given

    London, United Kingdom

    2019 Annual Meeting for Teachers of Medical Statistics ('Burwalls') https://tess.elixir-europe.org/events/2019-annual-meeting-for-teachers-of-medical-statistics-burwalls Burwalls’ is an informal annual meeting with the aim of encouraging and equipping those who teach statistical and quantitative research methods, and also evidence-based healthcare, to medical students and healthcare professionals (each of these aspects loosely defined!). It is a fantastic opportunity for comparing notes.  The 2019 meeting will be held on the UEA campus on the western side of Norwich, with single en-suite modern student accommodation within a short walking distance on campus.   Programme topics will include: • development and application of new teaching methods; • use of online learning within curricula; • ways to make the topic interesting, accessible and relevant to students; • tools and resources; trials and errors;  • statistical outreach in schools; and • early results of a recent RSS survey of medical statisticians on professional issues. The social programme includes a walking tour of UEA’s public art gallery (the Sainsbury Centre for Visual Arts, SCVA) and sculpture trail in the stunningly attractive riverside park- and woodland setting of the campus, and an outing into Norwich city centre by bus.  We are delighted to have Emeritus Prof. Mike Campbell, a Burwalls veteran, as our guest after-dinner speaker.  Please go to our web-pages for further information and to register (closes Friday 21 June) Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
  • A Time Tour: the RSS building and its environs

    No date given

    London, United Kingdom

    A Time Tour: the RSS building and its environs https://tess.elixir-europe.org/events/a-time-tour-the-rss-building-and-its-environs Speaker: Janet Foster, RSS Archives & Records Management Consultant About the Event: Take a walk around the Errol Street area on the borders of Islington and the City to discover the history that hides in plain view. Starting with the RSS building itself we will take in White Cross Street and discover the theatre that rivalled Shakespeare’s Globe, the prototype of social housing, a Quaker burial ground and Bunhill Fields, last resting place of a Romantic poet-painter, the creators of Robinson Crusoe and Pilgrims Progress and an early statistician, finishing with a drink in the Artillery pub – and where does that name come from? Programme:  The tour should last about an hour. Refreshments: tea, coffee and biscuits will be available from 5.30pm.   Attendance is free, whether fellows of the RSS or not, but for practical reasons numbers will be limited to a maximum of 25.   Pre-registration is required:   Royal Statistical Society The Royal Statistical Society, London, United Kingdom The Royal Statistical Society London United Kingdom EC1Y 8LX [] [] [] workshops_and_courses [] []
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