Training and Events
Causal analysis with longitudinal data using fixed and random effects models
|University of Manchester|
Prof Ian Plewis
View in Google Maps (M13 9PL)
Claire Spencer, 0161 275 1980, firstname.lastname@example.org
It is intended that students attending the course will be able to specify and estimate causal models for observational longitudinal data. Students new to longitudinal data should consider taking the CMIST short course running before this one.
The course begins with a general consideration of, and practical work with models for data collected on two occasions, including differences in differences and Lord’s Paradox. It is followed by extensions to more than two occasions, focussing on the different regression lines that can be estimated. After lunch, random and fixed effects models are considered in detail, again linked to a practical session.
This course will run from 10am- 4pm
Intermediate (some prior knowledge)
£30 per day for UK/EU registered students
Website and registration
Longitudinal Research , Longitudinal Data Analysis, Stata, Lord’s Paradox
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