Innholdsfortegnelse

Emnet er tilknyttet følgende studieprogram

Anbefalte forkunnskaper

  • EX-602 Philosophy of Science
  • ME-626 General Quantitative Research Methods, ME-428 or corresponding courses

Læringsutbytte

On successful completion of the course, the student has:

 

Knowledge about

  • the assumptions with respect to logistic regression
  • logistic regression models

Skills

  • can perform and critically evaluate logistic regression analysis with categorical and continuous independent variables
  • can predict outcomes with respect to sensitivity and specificity as well as predictive values

General competence

  • can independently plan, analyze, report and interpret own logistic regression analysis
  • can interpret and critically evaluate logistic regression analysis from published research

Innhold

  • Assumptions for performing logistic regression
  • Analysis with categorical independent variables
  • Analysis with continuous independent variables
  • Critical evaluation of models
  • Prediction of outcome with respect to sensitivity and specificity as well as predictive values

Undervisnings- og læringsformer

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.

Vilkår for å gå opp til eksamen

Participation in compulsory lectures as stated in the course pamphlet.

Eksamen

Individual 5-days home examination. The examination will be assessed as pass/fail.
Sist hentet fra FS (Felles studentsystem) 15. okt. 2026 13:32:42