Contents
The participants are introduced to analysis of studies with different designs and reporting of results from observational studies. The primary focus in this course will be on analysis of cohort studies, case-control studies and longitudinal studies. Analysis and concepts in follow-up studies will include: Rates, risks and probabilities, Poisson and Cox modelling of rates and the use of these in reporting. Analysis of case-control studies will be based on logistic regression with and without matching (ordinary and conditional logistic regression). Analysis of longitudinal studies will focus on including an autocorrelation structure in the ordinary analysis and analysis using random intercepts and random slopes. The focus will be on application of the concepts through practical exercises using SAS, R or STATA and practicing these in working with a concrete project.
Aim
- Analysis of cohort, case-control and longitudinal studies
- Statistical concepts behind rates, particularly in relation to different time scales
- Practical Poisson and Cox modelling of rates and applications
- Logistic regression and repeated measurements analysis
- Matching in cohort and case-control studies
- Analysis of epidemiological studies based on health-related databases and registers
Course and teaching arrangement
A 5-week course.
Five full days in the first week with lectures, group discussions and exercises. Exercises will be with examples from Danish observational studies. The following 4 weeks participants work with their own project and prepare a course report.
In the first week, there will be lectures, group discussions and exercises (full days). The following 4 weeks participants (individually) work with their own project and prepare a course report. Participants will each have a 1-hour consultation with course lecturers regarding their project. In the 5th week the report is handed-in.
Prerequisite
The PhD courses Biostatistics I+II or a similar course. Knowledge of a statistical analysis program such as SAS/STATA/R. Participants should bring their own laptop with SAS, STATA or R installed.
Max number of participants
20 PhD students
Course fee
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement".
For other participants there is a course fee of DKK 5756,-