course-details-portlet

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

Course materials

Rabe-Hesketh & Skrondal (2022). Multilevel and Longitudinal Modeling Using Stata; Volume 1: Continuous Responses. 4th ed. Stata Press

More on the course

No

Facts

Version: 1
Credits:  3.0 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Medicine
  • Statistics
Contact information
Course coordinator:

Department with academic responsibility
Department of Public Health and Nursing

Timetable

List view
Calendar view

Examination

Examination arrangement: Home examination

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Home examination 100/100

Release
2023-09-29

Submission
2023-10-06


09:00


23:59

INSPERA
Room Building Number of candidates
Spring UTS Home examination 100/100

Release
2024-01-19

Submission
2024-01-25


09:00


23:59

INSPERA
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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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