The course is connected to the following study programs

Recommended prerequisites

  • EX-602 Philosophy of Science

  • ME-626 General Quantitative Research Methods, ME-428 or corresponding courses

Course contents

  • Models assumptions

  • Initial evaluation of data

  • Analysis with continuous independent variables

  • Analysis with categorical independent variables

  • Strategies for model building

  • Interpretation of models

Learning outcomes

On successful completion of the course, the candidate has:

 

Knowledge about

  • strategies for model building

  • evaluation of model assumptions

Skills

  • can evaluate initial data before analysis

  • can perform survival analysis with categorical and continuous independent variables

General competence

  • can independently plan, analyze, report and interpret own survival analysis and models

  • can interpret and critically evaluate survival analysis and models from published research

Examination requirements

Participation in compulsory lectures as stated in the course pamphlet.

Teaching 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.

Assessment methods and criteria

Individual 5-days home examination. The examination will be assessed as pass/fail.

Last updated from FS (Common Student System) July 1, 2024 5:30:21 AM