Planning and Analysis of Clinical Experiments

7.5 credits

Syllabus, Master's level, 1MS022

This course has been discontinued.

A revised version of the syllabus is available.

Code: 1MS022
Education cycle: Second cycle
Main field(s) of study and in-depth level: Mathematics A1N
Grading system: Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
Finalised by: The Faculty Board of Science and Technology, 3 November 2008
Responsible department: Department of Mathematics

Entry requirements

120 credit points including Analysis of Regression and Variance

Learning outcomes

In order to pass the course (grade 3) the student should

be able to give an account of important concepts in the area of clinical research;

understand the importance of correct planning and analysis of clinical studies from ethical as well as economical perspectives;

be able to use the most important types of clinical trial plans;

be able to use various methods for randomizing patients for different treatments;

know various methods for interim analysis of data during a clinical study, and important models and methods for statistical analysis of clinical data after the study;

be able to present results of a clinical study to others.

Content

Cross-over, factorial and other trial plans. Parametric and non-parametric methods for clinical studies. Analysis of covariance, repeated measurements, dimensioning. Handling of prognostic factors.

Assessment

Assignments and laboratory work with computers.

Planning and Analysis of Clinical Experiments

Entry requirements

Learning outcomes

Content

Assessment

Reading list