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Prof Fiona Steele COL 7.12

This course is available on the MPA in Data Science for Public Policy, MSc in Health Data Science, MSc in Social Research Methods, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research), MSc in Statistics (Research), MSc in Statistics (Social Statistics) and MSc in Statistics (Social Statistics) (Research). This course is available as an outside option to students on other programmes where regulations permit.

This course has a limited number of places (it is controlled access). In previous years we have been able to provide places for all students that apply but that may not continue to be the case.

A knowledge of probability and 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 Course

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.

This course will be delivered through a combination of lectures and computer classes totalling a minimum of 30 hours in WT.

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

This course includes a reading week in Week 6 of WT.

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

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

Exam (100%, duration: 2 hours) in the spring exam period.