Not available in 2022/23
ST442      Half Unit
Longitudinal Data Analysis

This information is for the 2022/23 session.

Teacher responsible

Prof Fiona Steele COL 7.12

Availability

This course is available on the MSc in Health Data Science, MSc in Social Research Methods, MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (LSE and Fudan), 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.

Pre-requisites

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

Course content

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 and dynamic (autoregressive) models. The course will have an applied emphasis with fortnightly computer classes using the Stata software.

Teaching

This course will be delivered through a combination of classes, lectures and Q&A sessions totalling a minimum of 30 hours across Lent Term. This year some of this teaching may be delivered through a combination of classes and flipped lectures delivered as short online videos. Week 6 will be used as a reading week.

Formative coursework

Coursework assigned fortnightly and returned to students with comments/feedback during the computer sessions.

Indicative reading

  • 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.

Assessment

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

Key facts

Department: Statistics

Total students 2021/22: 22

Average class size 2021/22: 22

Controlled access 2021/22: Yes

Lecture capture used 2021/22: Yes (LT)

Value: Half Unit

Guidelines for interpreting course guide information

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Personal development skills

  • Problem solving
  • Application of numeracy skills