Abstract

In this article, we develop a model to study treatment, period, carryover, and other applicable effects in a crossover design with a time-to-event response variable. Because time-to-event outcomes on different treatment regimens within the crossover design are correlated for an individual, we adopt a proportional hazards frailty model. If the frailty is assumed to have a gamma distribution, and the hazard rates are piecewise constant, then the likelihood function can be determined via closed-form expressions. We illustrate the methodology via an application to a data set from an asthma clinical trial and run simulations that investigate sensitivity of the model to data generated from different distributions.

Original languageEnglish (US)
Pages (from-to)1960-1969
Number of pages10
JournalCommunications in Statistics: Simulation and Computation
Volume41
Issue number10
DOIs
StatePublished - Jul 2 2012

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation

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