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Models for recurring events with marginal proportional hazards

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  • Nader Ebrahimi

Abstract

Semiparametric methods were proposed by Wei et al. (1989) to analyse recurring event-time data. They modelled the marginal distribution of each event time with a Cox proportional hazards model without imposing any constraint on the joint distribution of different event times. Therefore, it is unclear whether or not event times can simultaneously satisfy their respective marginal proportional hazards assumptions, while having continuous joint distribution. Often this leads to a difficulty of conducting simulation studies. In this note we construct parametric marginal proportional hazards models for recurring event times with proper joint density functions. Copyright 2006, Oxford University Press.

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  • Nader Ebrahimi, 2006. "Models for recurring events with marginal proportional hazards," Biometrika, Biometrika Trust, vol. 93(2), pages 481-485, June.
    • Handle: RePEc:oup:biomet:v:93:y:2006:i:2:p:481-485
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    File URL: http://hdl.handle.net/10.1093/biomet/93.2.481
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    Cited by:

    1. V. N. Sreeja & P. G. Sankaran, 2007. "Proportional mean residual life model for gap time distributions of recurrent events," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 319-336.
    2. Niu, Yi & Peng, Yingwei, 2015. "A new estimating equation approach for marginal hazard ratio estimation," Computational Statistics & Data Analysis, Elsevier, vol. 87(C), pages 46-56.

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