ME-626 General Quantitative Research Methods, ME-428 or corresponding courses
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
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
Teaching methods and workload
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.
Assessment methods and criteria
Individual 5-days home examination. The examination will be assessed as pass/fail.