2 papers
stat.ME2025
Evaluating the effect of different non-informative prior specifications on the Bayesian proportional odds model in randomised controlled trials: a simulation study
Chris J. Selman, Katherine J. Lee, Michael Dymock +4
Background: Ordinal outcomes combine multiple distinct ordered patient states into a single endpoint and are commonly analysed using proportional odds (PO) models in clinical trial…
stat.ME2025
Evaluating the performance of Bayesian cumulative logistic models in randomised controlled trials: a simulation study
Chris J. Selman, Katherine J. Lee, Steven Y. C. Tong +2
Background: The proportional odds (PO) model is the most common analytic method for ordinal outcomes in randomised controlled trials. While parameter estimates obtained under depar…