Literature DB >> 10715509

Methods for analysis of multiple events in the presence of death.

D Ghosh1.   

Abstract

The use of multiple events data in the design and analysis of clinical trials is becoming quite common. Several methods for analyzing such data have been proposed in the literature. However, they do not account for deaths in the analysis. In this article, an overview of available methods for modeling recurrent events and death is given. These methods are illustrated using data from an HIV clinical trial.

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Year:  2000        PMID: 10715509     DOI: 10.1016/s0197-2456(00)00043-x

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  2 in total

1.  Semi-parametric risk prediction models for recurrent cardiovascular events in the LIPID study.

Authors:  Jisheng Cui; Andrew Forbes; Adrienne Kirby; Ian Marschner; John Simes; David Hunt; Malcolm West; Andrew Tonkin
Journal:  BMC Med Res Methodol       Date:  2010-04-01       Impact factor: 4.615

2.  Empirical comparison of methods for analyzing multiple time-to-event outcomes in a non-inferiority trial: a breast cancer study.

Authors:  Sameer Parpia; Lehana Thabane; Jim A Julian; Timothy J Whelan; Mark N Levine
Journal:  BMC Med Res Methodol       Date:  2013-03-21       Impact factor: 4.615

  2 in total

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