A simple correction for ties when censoring times depend on covariates.

Abstract:

:We point out that the conventional methods for ties correction may be seriously biased when censoring times depend on covariates. A simple modification to the Efron correction method is suggested which works remarkably well in simulation studies. The method corresponds closely to breaking ties by random ordering. The modified correction method is easy to implement and computationally no more demanding than the Efron correction.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Samuelsen SO,Wisløff TF,Skrondal A

doi

10.1002/sim.2173

subject

Has Abstract

pub_date

2005-10-30 00:00:00

pages

3111-21

issue

20

eissn

0277-6715

issn

1097-0258

journal_volume

24

pub_type

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