Analysis of Categorical Variables MN1

5 credit points

Syllabus, D-level, 1MS124

Code
1MS124
Level
D
Subject(s)
Mathematics
Grading system
Pass with distinction (VG), Pass (G), Fail (U)
Finalised
20 September 1994
Responsible department
Department of Mathematics

Entry requirements

75 ECTS credits of Mathematical Statistics or

Statistics.

Aims

To give an introduction to the statistical theory for treatment of categorical data, especially as applied to biology and medicine.

Content

Analysis of bivariate categorical data.

Correlation measures. General linear models, in

particular log-linear and logit models. Probit

analysis. Analysis of multivariate categorical

data. Logistic regression. Construction of models,

strategies for the choice of models. Model

fitting using the ML-method. Applications.

Statistical software.

Instruction

Lectures, problem solving sessions and

laboratory sessions.

Assessment

Written and, possibly, supplementary oral

examination at the end of the course. Compulsory

assignments during the course.

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