A simple correction for ties when censoring times depend on covariates

A simple correction for ties when censoring times depend on covariates

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 ra...

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Veröffentlicht in:Statistics in medicine 2005-10, Vol.24 (20), p.3111-3121
Hauptverfasser: Samuelsen, S. O., Wisløff, T. F., Skrondal, A.
Format: Artikel
Sprache:eng
Schlagworte:
Adolescent
Adult
Age Factors
Coitus
Computer Simulation
Cox regression
Cross-Sectional Studies
Data Interpretation, Statistical
Efron correction
Female
Humans
Medical statistics
Middle Aged
Peto-Breslow correction
proportional hazards model
Proportional Hazards Models
Random variables
survival data
ties
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Zusammenfassung: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. Copyright © 2005 John Wiley & Sons, Ltd.
ISSN:0277-6715
1097-0258
DOI:10.1002/sim.2173