Not available in 2020/21
ST542 Half Unit
Longitudinal Data Analysis
This information is for the 2020/21 session.
Teacher responsible
Prof Fiona Steele COL 7.12
Availability
This course is available on the MPhil/PhD in Health Policy and Health Economics and MPhil/PhD in Statistics. This course is available as an outside option to students on other programmes where regulations permit.
Pre-requisites
A knowledge of probability and basic 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
20 hours of lectures and 10 hours of computer workshops in the LT.
Week 6 will be a reading week.
Formative coursework
Students will be expected to produce 4 exercises in the LT.
Formative assessment is based on data analysis problems that require the use of the statistical software to apply the statistical techniques taught in the lectures and computer classes. Coursework is given out to students every two weeks and returned with feedback and comments.
Indicative reading
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).
Assessment
Coursework (100%, 4000 words) in the ST.
Assessment is by 100% coursework which is given to students in week 8
Important information in response to COVID-19
Please note that during 2020/21 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.
Key facts
Department: Statistics
Total students 2019/20: 2
Average class size 2019/20: Unavailable
Value: Half Unit
