Longitudinal and Missing Data
Date: 25 - 26 September 2016
Presented by Geert Verbeke and Geert Molenberghs
Level – Professional
CPD 12 hours
The course begins with a brief presentation of linear mixed models for continuous hierarchical data. The course focus is from the modeller’s perspective and on applications. Emphasis will be on model formulation, parameter estimation, and hypothesis testing, as well as on the distinction between the random-effects (hierarchical) model and the implied marginal model. It will be shown that, if no appropriate measures are taken, missing data can seriously jeopardize results, and interpretation difficulties are bound to occur. Methods to properly analyse incomplete data, under flexible assumptions, will be presented.
To register for this course please visit our website.
Venue: The Royal Statistical Society
City: London
Country: United Kingdom
Postcode: EC1Y 8LX
Organizer: Royal Statistical Society
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