ASS 41023 BINARY DATA AND CATEGORICAL DATA ANALYSIS

Many studies, both experimental and surveys, give rise to data classified by one or more factors. Such data can be analysed using the techniques of analysis of contingency tables depending on variable is discrete. Topics covered in this course include: 2×2 contingency tables: Relative risk, odds ratio, Chi-square test, Fisher’s exact test, r×c contingency tables: Tests of homogeneity and independence. Association in three-way tables. Logistic regression. Multinomial response models for nominal data, Multinomial response models for ordinal data, Poisson regression model