PPHS medical statistics

Course description

The course is a one-day hands-on practical to learn how to analyze clinical data in RStudio. Based on a given example dataset, participants will do some basic descriptive analysis, perform simple diagnostic and prognostics tests. The focus is on plots and useful R packages.

Note: this is not an introductory R course. Some basic understanding of R is highly recommended.

Learning objectives

After the course, participants will be able to

• Apply useful R-packages
• Describe patient characteristics with baseline tables
• Generate fancy box plots for basic descriptive analysis
• Generate ROC curves for diagnostic testing
• Generate Kaplan-Meier Survival Curves for prognostic testing

Lecturer(s)

The lecturer is Melissa Amrein, 3^rd year PhD student at the University Hospital of Basel, Department of Clinical Research. Melissa has gained knowledge of medical statistics in R through her work and publications.

Thomas Stojanov, 2^nd year PhD student at the University Hospital of Basel, will provide support before the course to install R and the required R packages, and during the course to answer more specific questions.

Participants

University of Basel PhD students of the Faculty of Medicine, Swiss TPH, and those with the PhD subject ‘Epidemiology’ at the Faculty of Science. 

Preference is given to those registered to PPHS

Group size: maximum 25 participants 

Workload

Workshop (7 hours) and pre-work to install R and RStudio and the example dataset.

Pre-meeting: join this pre-meeting if you want to make sure having properly installed R, Rstudio, and/or loaded the example dataset.