Studienhandbuch | SE Advanced Statistics in Medical Sciences

Inhalt

^(*) Unfortunately this information is not available in english.

Workload	Education level	Study areas	Responsible person	Hours per week	Coordinating university
2 ECTS	R - Doctoral programme	Human Medicine	Helga Wagner	1,5 hpw	Johannes Kepler University Linz

Detailed information

Pre-requisites

^(*)Zulassung zum Doktoratsstudium Medical Sciences
SE Statistics in Medical Sciences

Original study plan

Doctoral programme Medical Sciences 2026W

Learning Outcomes

Competences
Students have a sound knowledge of methods for statistical analysis of multivariate data and can use the statistical software R for basic statistical analyses.

Skills	Knowledge
Understand and interpret the output of repeated measurements ANOVA, and linear mixed models Understand the basic concepts and interpret the results of cluster analysis. Understand methods and interpret results of methods for dimension reduction (PCA, tsne, UMAP) Understand methods and interpret results of gene set enrichment analysis	Methods for the analysis of repeatedly measured and panel outcomes Methods for supervised and unsupervised cluster analysis and metrics to evaluate clustering results Principles of methods for dimension reduction Principles of gene set enrichment analysis

Criteria for evaluation

Attendance of at least 80 % Students are assessed throughout the course by discussing small homework examples as well as a final presentation.

Language

English and French

Study material

Slides provided by instructor

Changing subject?

Is completed if

^(*)405FUSCFS5S23: SE Fundamentals of scientific research and general skills: Applied Biostatistics (3 ECTS)

On-site course
Maximum number of participants	20
Assignment procedure	Assignment according to priority