Table of contents

The course is connected to the following study programs

Teaching language

English

Recommended previous knowledge

  • EX-602 Philosophy of Science
  • ME-428 or corresponding courses

 

Learning outcomes

On successful completion of the course, the candidate:

 

Knowledge

  • can critically reflect regarding strengths and limitations with respect to research designs
  • be aware of the issue of missing data and knows how to deal with missing data
  • can perform regression analysis
  • can critically reflect on strengths and limitations in different statistical approaches

 

Skills

  • is aware of sample size and power calculations issue
  • can plan, conduct and interpret data from regression analysis in randomized controlled trials and longitudinal studies

 

General competence

  • has an overview of type od study designs and independently plan, analyze, and interpret own and others results from regressions analysis

 

Contents

  • Advanced with respect to research designs
  • Power calculations
  • Imputation
  • Statistical regression models including continuous and categorical outcome variables
  • Statistical analysis of data from longitudinal studies and randomized controlled trials

Teaching and learning methods

Lectures combined with practical statistical exercises in a computer lab. Examples of analysis of data will to a great degree be connected to the faculty¿s on-going or planned research projects.

Examination requirements

Participation in compulsory lectures as stated in the course pamphlet.

 

Examinations

Individual 14-days home examination. The examination will be assessed as pass/fail.

 

Last updated from FS (Felles studentsystem) Oct. 15, 2026 8:43:38 AM