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Linear Mixed Models for Longitudinal Data

Master's level | 7.5 credits | Course code: MSA650
Spring 2021
50% Day
Period: 18 January 2021 - 24 March 2021
2 Opens 15 September GU-21757
2) Only EU/EEA citizens and students with approved residence permit in Sweden can apply

About the Course

This course is an introduction to the area of mixed models which has become a necessary tool for treating real life situations with e.g. random effects, correlated observations and missing data. The emphasis is on longitudinal data and on how to use SAS and R to analyse mixed models.

The main topics: Exploratory Data Analysis, Estimation of the Marginal Model, Inference for the Marginal Model, Inference for the Random Effects, Fitting Linear Mixed Models with SAS, General Guidelines for Model Building, Exploring Serial Correlation, Local Influence for the Linear Mixed Model , The Heterogeneity Model, Conditional Linear Mixed Models, Exploring Incomplete Data, Joint Modeling of Measurements and Missingness, Simple Missing Data Methods, Selection Models, Pattern-Mixture Models, Sensitivity Analysis for Selection Models, Sensitivity Analysis for Models, How Ignorable is Missing at Random?, The Expectation-Maximization Algorithm, Design Considerations, Case Studies.

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Course Syllabus


Requirements and Selection

Requirements: Students are expected to be familiar with basic statistical inference and to have taken some course in regression and analysis of variance, like MSG500 Linear statistical models.

Selection: All eligible applicants who have applied before the deadline will be granted a place.

Tuition Fee

Application fee: 900 SEK
Full course cost: 14 875 SEK
First payment: 14 875 SEK

EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on:

Study Guidance, tel: 031-772 3505


Department of Mathematical Sciences
41296 Göteborg

Visiting address: Chalmers Tvärgata 3

Phone: 0317721000

Page Manager: Jörgen Ölund
Last update: 2/18/2020 2:41 PM

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Page Manager: Jörgen Ölund|Last update: 10/16/2018

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