Course - Longitudinal data analysis - KLMED8018
KLMED8018 - Longitudinal data analysis
About
New from the academic year 2023/2024
Examination arrangement
Examination arrangement: Home examination
Grade: Passed / Not Passed
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Home examination | 100/100 | 5 days |
Course content
The course gives an introduction to the analysis of longitudinal data for studies with a continuous outcome variable. Longitudinal study designs, in which individual measurements are taken repeatedly over time, will be described, as well as descriptive statistics for longitudinal data. The course includes linear mixed models with a continuous or categorical time variable, and marginal models where the correlation structure for the repeated measurements are specified directly and not by using a mixed model. Description of various correlation structures for modeling the time dependency, and how to choose the model that gives the best fit to the data, will be emphasized. Methods for longitudinal data from randomized studies with a pre-post design will be discussed in particular. The course includes exercised using the Stata software.
Learning outcome
After successful completion of this course the student should be able to:
- understand the importance of dependency in longitudinal data for the statistical analysis and modeling, and the consequences of not accounting for this dependency
- summarize longitudinal data by simple descriptive analyses and graphical displays
- have knowledge of linear mixed models and marginal models for longitudinal data, and the difference between them
- perform statistical analyses by means of a statistical program package and be able to interpret the results from the analyses
- be able to choose an appropriate model for a given data set and design, including the correlation structure for the time dependency
- be able to report the results from the statistical data analyses in a scientific medical journal
Learning methods and activities
Lectures and exercises
Recommended previous knowledge
KLMED8004, KLMED8014 and KLMED8017 or equivalent
Course materials
Rabe-Hesketh & Skrondal (2022). Multilevel and Longitudinal Modeling Using Stata; Volume 1: Continuous Responses. 4th ed. Stata Press
No
Version: 1
Credits:
3.0 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English
Location: Trondheim
- Medicine
- Statistics
Department with academic responsibility
Department of Public Health and Nursing
Examination
Examination arrangement: Home examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
-
Autumn
ORD
Home examination
100/100
Release
2023-09-29Submission
2023-10-06
09:00
INSPERA
23:59 -
Room Building Number of candidates -
Spring
UTS
Home examination
100/100
Release
2024-01-19Submission
2024-01-25
09:00
INSPERA
23:59 -
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"