A new latent cure rate marker model for survival data

Details A new latent cure rate marker model for survival data A new latent cure rate marker model for survival data

2009-10-09

arxiv.org/abs/0910.1660v1

Annals of Applied Statistics 2009, Vol. 3, No. 3, 1124-1146

Statistics

Applications

Published in at http://dx.doi.org/10.1214/09-AOAS238 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Ins

Scientific paper

10.1214/09-AOAS238

To address an important risk classification issue that arises in clinical practice, we propose a new mixture model via latent cure rate markers for survival data with a cure fraction. In the proposed model, the latent cure rate markers are modeled via a multinomial logistic regression and patients who share the same cure rate are classified into the same risk group. Compared to available cure rate models, the proposed model fits better to data from a prostate cancer clinical trial. In addition, the proposed model can be used to determine the number of risk groups and to develop a predictive classification algorithm.

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