KLMED8008 - Analysis of Repeated Measurements


Examination arrangement

Examination arrangement: Home examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Home examination 100/100 1 weeks A

Course content

Problems and advantages with dependent observations.
Summary measures (Area under curve (AUC), coefficient of slope, min/max value).
Covariance and correlation.
Adjustment for baseline measurement.
Variance components.
Linear mixed effect models.
Use of relevant software (Stata)

Learning outcome

After completing the course, the student should be able to:

• Understand the nature of dependency in clustered and repeated measurements, and how this dependency alters the approach to statistical analysis and modeling; as well as the consequences of not taking this information into account
• Identify clusters and potential dependency by inspecting the design and/or viewing the resulting data set
• Understand the principles of experimental design in which experimental factors vary both between and within clusters
• Perform simple, descriptive analyses such as obtaining sample covariance and correlation, and corresponding graphical plots such as scatter plots, to illuminate key features of data with clustered and/or repeated observations
• Perform and interpret variance component estimation, and adjustment for baseline value in randomized trials using analysis-of-covariance
• Perform and interpret linear mixed regression models with random intercept, with random intercept and random slopes for covariates; using appropriate software
• Understand the special nature of observations made along the time axis, including the possibility of autoregressive residuals

Learning methods and activities

Lectures and guided excercises.

Course information will be published at
before the course starts.

Required previous knowledge

Master or equivalent degree in medicine, health related subjects, or social sciences. Medical students at The Student Research Programme. Candidates with a lower degree may be assessed individually.

Course materials

Textbook: Rabe-Hesketh & Skrondal (2012). Multilevel and Longitudinal Modeling Using Stata; Volume 1: Continuous Responses. Stata Press

Credit reductions

Course code Reduction From To
KLMED8006 2.0 01.09.2010
ST2303 2.0 01.09.2010
More on the course



Version: 1
Credits:  5.0 SP
Study level: Doctoral degree level


Term no.: 1
Teaching semester:  SPRING 2021

Language of instruction: English, Norwegian

Location: Trondheim

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

Department with academic responsibility
Department of Public Health and Nursing



Examination arrangement: Home examination

Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Spring ORD Home examination 100/100 A

Release 2021-05-31

Submission 2021-06-07

Release 09:00

Submission 15:00

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"

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