Graduate Programme in Public Health
The student is introduced to a number of statistical techniques applied to medical and health related examples. Topics covered are especially logistic regression, poison regression, analysis of longitudinal data and survival analysis. Optional topics can be e.g. quantile regression, agreement, missing data, ….
The statistical package Stata is used for analysis of the studied examples during the whole course. Students get hands-on experience with Stata during the exercises.
The course furthermore includes a project period where the student brings a dataset to be analyzed using tools 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 oral project representation focusing on the dataset and its analysis and prepared by each participant.
This course is a follow-up to Biostatistics I, the latter covering continuous response parameters from independent observations. Biostatistics II seeks to cover other types of statistical problems commonly encountered in medical research such as e.g. a binary outcome parameter or correlated observations, and to enable students to carry out the appropriate statistical analysis.
Course arrangements: 4 full days during one semester followed by a project period of ca. 2 weeks where the student analyses own data and writes a report that is later presented orally.
Course credit: 4 ECTS.
Type of evaluation: Project report and presentation. Moreover, active engagement with the course topics is assessed using online discussion boards.
Course leader: Department of Epidemiology, Biostatistics and Biodemography, SDU (contact: Professor Jacob Hjelmborg)
Prerequisites: Knowledge corresponding to Biostatistics I is mandatory. (It is recommended to take Biostatistics II right after Biostatistics I.) Knowledge about Stata corresponding to what is acquired from the course “Data documentaton and introduction to using Stata” is preferable but not mandatory. Students should bring their own laptop.
- Kirkwood and Sterne. Essential medical statistitics. Second edition.
- Rabe-Hesketh and Everitt. A Handbook of Statistical Analyses Using Stata, 4th Edition
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement"
For all other participants the course fee is DKK 7205,-