Competing risks
Author:
- 25 May 2010
- journal article
- review article
- Published by Wiley in WIREs Computational Statistics
- Vol. 2 (3) , 333-339
Abstract
Competing risks arise when a subject is exposed to many causes of failure. Data consist of the time the subject failed and an indicator of which risk caused the subject to fail. Examples in medicine include the analysis of cause to death data, the analysis of relapse and death in remission in cancer studies, or random right censoring. In engineering applications competing risks arise when analyzing series systems. Classical competing risks deal with the modeling of the probability of failure in the observed system (crude probabilities) or in systems with some causes of failure removed (net or partial crude probabilities). Modern competing risks theory, often based on counting process methodology, examines estimation techniques for competing risks probabilities, regression modeling for competing risks probabilities and comparing competing risks probabilities between treatment groups. Copyright © 2010 John Wiley & Sons, Inc.This article is categorized under: Statistical and Graphical Methods of Data Analysis > Reliability, Survivability, and Quality ControlKeywords
This publication has 39 references indexed in Scilit:
- Flexible competing risks regression modeling and goodness-of-fitLifetime Data Analysis, 2008
- SAS and R functions to compute pseudo-values for censored data regressionComputer Methods and Programs in Biomedicine, 2008
- Regression Modeling of Competing Risks Data Based on Pseudovalues of the Cumulative Incidence FunctionBiometrics, 2005
- A Proportional Hazards Model for the Subdistribution of a Competing RiskJournal of the American Statistical Association, 1999
- A self-consistent estimator of marginal survival functions based on dependent competing risk data and an assumed copulaCommunications in Statistics - Theory and Methods, 1994
- A Class of $K$-Sample Tests for Comparing the Cumulative Incidence of a Competing RiskThe Annals of Statistics, 1988
- Independent or dependent competing risks: does it make a differenceCommunications in Statistics - Simulation and Computation, 1987
- Dependent competing risks and summary survival curvesBiometrika, 1983
- Smoothing Counting Process Intensities by Means of Kernel FunctionsThe Annals of Statistics, 1983
- Nonparametric Estimation from Incomplete ObservationsJournal of the American Statistical Association, 1958