Suspended in 2025/26
ST542      Half Unit
Longitudinal Data Analysis

This information is for the 2025/26 session.

Course Convenor

Availability

Requisites

Additional requisites:

A knowledge of probability and basic statistical theory, including linear regression and logistic regression.

Please log into moodle.lse.ac.uk and self-enrol in the 'R for Statistics Pre-sessional

A practical introduction to methods for the analysis of repeated measures data, including continuous and binary outcomes. Topics include: longitudinal study designs, models for two measurements, (random effects) growth curve models, marginal models, missing data, latent class models, models for binary data and dynamic (autoregressive) models. The course will have an applied emphasis with fortnightly computer classes using R.

20 hours of lectures and 10 hours of seminars in the Winter Term.

This course has a reading week in Week 6 of Winter Term.

Students are required to install R on their own laptops for use in the computer workshops.

Students will be expected to produce 4 exercises in the WT.

Coursework assigned fortnightly and returned to students via Moodle with feedback.

• Hedeker D, Gibbons RD. Longitudinal Data Analysis. Hoboken, New Jersey: John Wiley & Sons, Inc. (2006).
• Rabe-Hesketh S,  Skrondal A. (2012) Multilevel and Longitudinal Modeling Using Stata, Third Edition. Volume I: Continuous Responses. College Station, Texas: Stata Press.
• Singer JD, Willett JB. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York: Oxford University Press (2003). (Part I only).

Research report (100%, 4000 words)

Assessment is by 100% coursework which is given to students in week 8