This week's seminars
Stats4Grads: Modelling of Ordinal Data
15 May 2019 11:00 in CM105
The most common methods for analysing categorical data will be presented. The first part of the seminar focuses on contingency table analysis, with special emphasis on contingency tables with ordinal classification variables and associated models (log-linear or log-nonlinear). Generalised odds ratios are introduced and their role in contingency table modelling is commented. The second part discusses logistic regression models for binary responses, as well as for multi-category ordinal and nominal responses. Examples show the use of R for fitting these models.
Contact firstname.lastname@example.org for more information
See the Stats4Grads page for more details about this series.