Training and Events
Longitudinal Data Analysis (join a waiting list)
|NCRM, University of Southampton|
Professor Peter Smith, Professor Ann Berrington and Dr Marcel Vieira
03/07/2017 - 05/07/2017
Building 39, University of Southampton, Highfield, Southampton, Hants
View in Google Maps (SO17 1BJ)
This course starts by reviewing the advantages of collecting and analysing longitudinal data. After discussing the various types of longitudinal data, we focus on panel data containing repeated measures. Topics will include: methods for exploring longitudinal data; alternative approaches for modelling repeated measures data for continuous and categorical responses with particular attention to population average and subject-specific models; and methods for handling complex survey designs, weights and non-response.
This course will include the following topics:
The methods will be illustrated and compared using analyses of a variety of socio-economic, attitudinal and health outcomes collected in the British Household Panel Survey and in Understanding Society. The course will have a strong practical emphasis, with regular computer sessions using STATA enabling participants to work through examples.
The course is aimed at researchers who need to analyse longitudinal survey data, also called panel data or repeated measures data, especially those in the social, economic, educational and medical sciences. Participants should already be familiar with basic statistical theory, including inference, multiple linear regression and logistic regression. Participants may be researchers in the social sciences or may work in government, survey agencies, official statistics or the private sector.
Participants on this course must have prior statistical knowledge covering inference, multiple linear and logistic regression for cross-sectional data (for example up to the level of the CASS course ‘Regression Methods').
The course will have a strong practical emphasis, with regular computing sessions, using STATA and real survey data, to enable participants to work through examples. Therefore, prior experience of analysing survey data using a statistical package is required. However, no prior knowledge of STATA will be assumed.
For participants who wish to do background reading, the following references may be useful. Please note that although reading is optional, participants who have little statistical background in longitudinal or multilevel modelling are strongly advised to look at some of these references.
Intermediate (some prior knowledge)
The fee is:
Website and registration
Longitudinal Data Analysis, Panel data models, Repeated measures , , , , Random effect models , , , , Marginal models
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