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PubMed · 10422122

[Robust analysis methods for multivariate survival times].

R Lancar
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Abstract

In a long term clinical study, the subjects may experience repeated occurrences of the same type of events or multiple events of entirely different nature during the following period. In this article, we reviewed the three most frequently used extensions to the proportional hazards model for analysing such multivariate failure time data. Specifically, we explored the underlying hypotheses for each of these extensions. The three procedures were applied to a bladder cancer study.

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Clinical Trials as TopicData Interpretation, StatisticalHumansMultivariate AnalysisProportional Hazards ModelsReproducibility of ResultsSurvival AnalysisUrinary Bladder NeoplasmsEnglish AbstractJournal Article

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R Lancar. 1999. [Robust analysis methods for multivariate survival times].. https://pubmed.ncbi.nlm.nih.gov/10422122/

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