A note on bias of measures of explained variation for survival data.

Abstract

Papers evaluating measures of explained variation, or similar indices, almost invariably use independence from censoring as the most important criterion. And they always end up suggesting that some measures meet this criterion, and some do not, most of the time leading to a conclusion that the first is better than the second. As a consequence, users are… (More)
DOI: 10.1002/sim.6749

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Cite this paper

@article{Kejzar2016ANO, title={A note on bias of measures of explained variation for survival data.}, author={Natasa Kejzar and Delphine Maucort-Boulch and Janez Stare}, journal={Statistics in medicine}, year={2016}, volume={35 6}, pages={877-82} }