Emnet er tilknyttet følgende studieprogram

  • Ph.d.-program i helse- og idrettsvitenskap

Anbefalte forkunnskaper

  • EX-602 Philosophy of Science

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

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

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

Vilkår for å gå opp til eksamen

Participation in compulsory lectures as stated in the course pamphlet.

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.

Eksamen

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

Sist hentet fra Felles Studentsystem (FS) 1. juli 2024 03:06:05