course-details-portlet

KLMED8017 - Multilevel models

About

Examination arrangement

Examination arrangement: Home examination
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Home examination 100/100 3 days A

Course content

Advantages and problems with dependent observations. Summary measures (e.g. Area under the curve [AUC], slope coefficient, min/max values). Covariance and correlation. Variance components. Linear mixed effects models. Logistic mixed effects 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 measurements, and how this dependency alters the approach to statistical analysis and modeling; as well as the consequences of ignoring it;
  • 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 scatter plots to illustrate key features of data with clustered observations;
  • Estimate and interpret variance components;
  • Estimate and interpret linear mixed regression models and logistic mixed effects models with random intercept;
  • Estimate and interpret linear mixed effects models with random intercept and random slopes for covariates;
  • Use of relevant software

Learning methods and activities

Forelesninger og øvinger med veiledning

Course materials

Textbook: Rabe-Hesketh & Skrondal (2021). Multilevel and Longitudinal Modeling Using Stata; Volume 1 : Continuous Responses, Volume 2: Categorical Responses, Counts, and Survival. Fourth Edition, Stata Press. College Station, USA. ISBN-13: 978-1-59718-136-5

Lecture notes, to be announced.

Credit reductions

Course code Reduction From To
KLMED8008 3.0 AUTUMN 2022
More on the course

Facts

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

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: English

Location: Trondheim

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

Department with academic responsibility
Department of Public Health and Nursing

Timetable

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Examination

Examination arrangement: Home examination

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn UTS Home examination 100/100 A INSPERA
Room Building Number of candidates
Spring ORD Home examination 100/100 A 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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