Statistical Methods for Ordered Categorical Data
Date: 11th - 12th June 2012
Duration: 2 days
Delivered by: John Whitehead and Anne Whitehead
Registration deadline: 7th June 2012
- External from industry/commerce - £510
- External from academic institution/public sector/charity - £440
- External postgraduate student - £300
- Lancaster University staff - £120
- Lancaster University postgraduate student - £60
- Members of Mathematics and Statistics at Lancaster University - £0
Ordered categorical data arise from many clinical trials and epidemiological studies. Commonly used scales include the Glasgow Outcome Scale in head injury, where the five response categories are Good Recovery, Moderate Disability, Severe Disability, Vegetative State and Death; the Barthel Index and modified Rankin score in stroke; the Expanded Disability Status scale in multiple sclerosis as well as various measures of quality of life. This course examines the design and analysis of studies in which the primary response is of this form and focuses on approaches that make use of the assumption of proportional odds. Methods for the analysis of repeated ordinal data based on the marginal model and on the subject-specific model are presented and compared.
Practical work using procedures from SAS is included, as well as a discussion session on study design.
- Proportional odds model
- Continuation ratio model
- Model checking
- Stratified proportional odds model
- Sample size determination
- Models for repeated ordinal data
Registration deadline: 7th June 2012