Course content

Analysis of variance (one- and two-way ANOVA), non-parametric test (Kruskal-Wallis test), correlation and linear regression, analysis of stratified categorical data (Mantel-Haenszel test), logistic regression, survival analysis (Kaplan-Meier plot, log-rank test, Cox PH model).

Learning outcome

The students should understand basic principles of statistical analysis, and understand theoretical background and application of statistical models common within cinical and epidemiological research, and be able to perform and interpret results from statistical analyses.

Learning methods and activities

Lectures and excercises. Exercises must be passed before admission to examination. The examination may change to an oral exam if few students register.

Compulsory assignments

• Group assignments
• Handing in exercise assignment

Recommended previous knowledge

Medical statistics part I or equivalent.

Required previous knowledge

Master degree or similar. Medical students at The Student Research Programme. Candidates with a lower degree will be assessed individually.

Course materials

Rosner, B: "Fundamentals of Biostatistics", 7th ed. 2011 (6th edition from 2006 is sufficient)

Credit reductions