Experimental design for statistical analysis (IN-PERSON)
Date: 8 January 2024 @ 09:30 - 17:00
This one-day course is primarily aimed at life science researchers, but covers many topics that are applicable to other fields. It combines key theoretical knowledge with practical application, which will aid researchers in designing effective experiments. The focus throughout the course is to link experimental design to a clear analysis strategy. This ensures that the collected data will be suitable for statistical analysis.
During this course, we cover:
*Practices in experimental design that lead to high quality research
*Common design pitfalls, and how to avoid or mitigate them
*A brief introduction to more advanced analysis techniques for experiments with unusual or complex designs
Topics included in the course include: crafting a good research question, operationalising variables effectively, identifying and dealing with confounding variables and pseudoreplication, and practical tips for power analysis and piloting.
The course is delivered via a mix of lectures, group discussion and worked examples.
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: Graduate students, Postdocs and Staff members from the University of Cambridge, Institutions and other external Institutions or individuals
- Workshops and courses