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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3510

Title: Analysis of competing risks survival data when some failure types are missing
Authors: GOETGHEBEUR, Els
Ryan, L
Issue Date: 1995
Publisher: BIOMETRIKA TRUST
Citation: BIOMETRIKA, 82(4). p. 821-833
Abstract: We propose a method to analyse competing risks survival data when failure types are missing for some individuals. Our approach is based on a standard proportional hazards structure for each of the failure types, and involves the solution to estimating equations. We present consistent and asymptotically normal estimators of the regression coefficients and related score tests. An appealing feature is that individuals with known failure types make the same contributions as they would to a standard proportional hazards analysis. Contributions of individuals with unknown failure types are weighted according to the probability that they failed from the cause of interest. Efficiency and robustness are discussed. Results are illustrated with data from a breast cancer trial.
Notes: DANA FARBER CANC INST,BOSTON,MA 02115.Goetghebeur, E, LIMBURGS UNIV CENTRUM,UNIV CAMPUS,B-3500 DIEPENBEEK,BELGIUM.
URI: http://hdl.handle.net/1942/3510
Link to publication: http://dx/doi.org/10.1093/biomet/82.4.821
ISI #: A1995TT22800019
ISSN: 0006-3444
Type: Journal Contribution
Appears in Collections: Research publications

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