Ken Wu
In this talk, I will introduce a work in progress regarding the monitoring of clinical trials with the proportional odds model. Unlike the proportional hazards model, the hazards converge under the proportional odds model, and we believe this will more closely model treatment arms whose effects wane over time. I will begin by introducing sequential monitoring and some of the models and statistics currently used, and I will then describe the settings in which the proportional odds would be preferred. After discussing the origins and interpretation of the proportional odds model, I will talk about its estimation and some semiparametric efficiency issues that we have encountered. Finally, I will discuss the extension of this estimation to multiple interim analyses and list what questions remain.
