Time-dependent covariates in the proportional subdistribution hazards model for competing risks
نویسندگان
چکیده
منابع مشابه
Time-dependent covariates in the proportional subdistribution hazards model for competing risks.
Separate Cox analyses of all cause-specific hazards are the standard technique of choice to study the effect of a covariate in competing risks, but a synopsis of these results in terms of cumulative event probabilities is challenging. This difficulty has led to the development of the proportional subdistribution hazards model. If the covariate is known at baseline, the model allows for a summar...
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The Cox proportional-hazards regression model has achieved widespread use in the analysis of time-to-event data with censoring and covariates. The covariates may change their values over time. This article discusses the use of such time-dependent covariates, which offer additional opportunities but must be used with caution. The interrelationships between the outcome and variable over time can ...
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New statistical models for analysing survival data in an intensive care unit context have recently been developed. Two models that offer significant advantages over standard survival analyses are competing risks models and multistate models. Wolkewitz and colleagues used a competing risks model to examine survival times for nosocomial pneumonia and mortality. Their model was able to incorporate...
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ژورنال
عنوان ژورنال: Biostatistics
سال: 2008
ISSN: 1465-4644,1468-4357
DOI: 10.1093/biostatistics/kxn009