Contents
The student is introduced to a number of statistical techniques applied to medical and health related examples. Topics covered are especially analysis of count, binary, and continuous outcome data, analysis of longitudinal data and survival analysis. Optional topics can be e.g. causal inference, Bayesian analysis, missing data, ….
The statistical programs R and Stata are supported. Students get hands-on experience with R or Stata during the exercises.
The course furthermore includes a project period where the student brings a dataset to be analyzed and interpreted using methods covered in Biostatistics II; suitable datasets should be of moderate size and moderately complicated from a statistical point of view (allowing the application of techniques from the course). The project period closes with a written project report and an individual oral exam (see below).
Aim
This course is a follow-up to Biostatistics I, the latter covering fundamental basic statistics. Biostatistics II seeks to cover modelling and interpretation providing methods for analysing exposure-outcome relationship in a modern health science setting. It is further an aim to enable students to carry out the appropriate statistical analysis.
Course arrangements
4 full days during one semester followed by a project period of around 2 weeks where the student analyses own data and writes a report that is later presented orally. A supervision session is provided.
Type of evaluation
Project report and presentation. Syllabus question.
Prerequisites
Knowledge corresponding to Biostatistics I is mandatory. (It is recommended to take Biostatistics II right after Biostatistics I.) Knowledge about Stata or R is preferable; novice users should consider the course “Introduction to STATA” or “Introduction to R”. Students should bring their own laptop.
Course material
- Kirkwood and Sterne. Essential medical statistics. Second edition.
- Vittinghoff et al. Regression Methods in Biostatistics. Second Edition.
Course fee
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement" NorDoc.
For all other participants the course fee is
DKK 7300
EUR 978