Inferences on relative failure rates in stratified mark-specific proportional hazards models with missing marks, with

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Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Peter B Gilbert1, Yanqing Sun2

  • 1Department of Biostatistics, University of Washington and Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.

Journal of the Royal Statistical Society. Series C, Applied Statistics
|February 3, 2015
PubMed

Keywords:
Auxiliary marksaugmented inverse probability weightingcompeting risks failure time datagenetic dataproportional hazards modelsemiparametric model

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