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Analysis of failure time data under competing censoring mechanisms

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We derive estimators of the survival curve of a failure time in the presence of competing right censoring mechanisms. Our approach allows for the possibility that some or all of the competing censoring mechanisms are associated with the end point, even after adjustment for recorded prognostic factors. It also allows the degree of residual association to be possibly different for distinct censoring processes. Our methods generalize from one to several competing censoring mechanisms the methods of Scharfstein and Robins.
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Keywords: Cause-specific censoring; Inverse weighted probability; Sensitivity analysis; Sharp bounds

Document Type: Research Article

Affiliations: 1: Di Tella University, Buenos Aires, Argentina, and Harvard School of Public Health, Boston, USA 2: Universidad de Buenos Aires, Argentina 3: Johns Hopkins University, Baltimore, USA

Publication date: 2007-06-01

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