Overview of Parametric Based Inferential Methods for Time-to-Event Endpoints

Karl E. Peace, Kao-Tai Tsai

Research output: Contribution to book or proceedingChapter

Abstract

<p> An overview of time-to-event parametric methods is presented in this chapter. The parameters hazard function, death density function, survival function, and cumulative death distribution function are &filig;rst de&filig;ned, and relationships between them are noted. Then &filig;ve commonly used parametric models exponential, Weibull, Rayleigh, Gompertz, and lognormal are presented. These are followed by a discussion of how to incorporate concomitant, covariate, or regressor information into these models. Numerous applications from the literature, re&fllig;ecting a broad range of time-to-event endpoints that are analyzed (estimation and hypothesis testing) by a variety of statistical methods, are then presented. Penultimately, examples illustrating applications of the parametric models is presented. The chapter ends with a discussion of the models, methods, and applications.</p>
Original languageAmerican English
Title of host publicationDesign and Analysis of Clinical Trials with Time-to-Event Endpoints
StatePublished - Apr 23 2009

Disciplines

  • Biostatistics
  • Environmental Public Health
  • Epidemiology
  • Public Health

Keywords

  • Inferential methods
  • Overview
  • Parametric based
  • Time-to-event endpoints

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