Marginal Regression Models for Recurrent and Terminal Events

  title={Marginal Regression Models for Recurrent and Terminal Events},
  author={Debashis Ghosh and D. Y. Lin},
A major complication in the analysis of recurrent event data from medical studies is the presence of death. We consider the marginal mean function for the cumulative number of recurrent events over time, acknowledging the fact that death precludes further recurrences. We specify that covariates have multiplicative effects on an arbitrary baseline mean function while leaving the stochastic structure of the recurrent event process completely unspecified. We then propose estimators for the… CONTINUE READING


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Nanparanmetric and semiparametric analysi of recurrent events in the presence of terminal events and dependent gensoring

  • D. Ghosh
  • Ph. D. dissertation, Department of Biostatistics…
  • 2000
Highly Influential
5 Excerpts

A Proportional hazards model for the subdistribution of a competing risk

  • J. P. Fine, R. J. Gray
  • J. Amer. Statist. Assoc. 94, 496-509.
  • 1999
Highly Influential
4 Excerpts

Estimating the mean of an increasing stochastic process at a censored stopping time

  • R. Strawderman
  • J. Amer. Statist. Assoc. 95, 1192-1208.
  • 2000
1 Excerpt

Semiparametric regression for the mean and rate functions of recurrent events

  • D. Y. Lin, L. J. Wei, I. Yang, Z. Ying
  • J. Roy. Statist. Soc. Ser. B 62, 711-730.
  • 2000
10 Excerpts

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