Abstract
Sample size calculations are given for comparing two groups of subjects, typically referring to active and non-active intervention groups, on an ordinal outcome in experiments where the subjects are measured before and after intervention. These calculations apply to log-odds models with random intercepts, treatment, time and treatment-by-time interaction terms, the latter being the term of interest. The assumed forms of the odds ratios are flexible, allowing for proportional odds, adjacent categories, or other conditional models for ordinal responses. Simulations studies show that, for given sample sizes, the nominal and actual powers of the proposed test are similar.
Original language | English (US) |
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Pages (from-to) | 1807-1818 |
Number of pages | 12 |
Journal | Statistics in Medicine |
Volume | 22 |
Issue number | 11 |
DOIs | |
State | Published - Jun 15 2003 |
All Science Journal Classification (ASJC) codes
- Epidemiology
- Statistics and Probability
Keywords
- Conditional modelling
- Estimating equations
- Matched data