ME-627 Logistic Regression Analysis
- ECTS Credits:
- 2.5
- Responsible department:
- Faculty of Health and Sport Sciences
- Course Leader:
- Bjørge Herman Hansen
- Lecture Semester:
- Spring, Autumn
- Duration:
- 1 term
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
-
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
Learning outcomes
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
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.