Journal
STATISTICAL METHODS IN MEDICAL RESEARCH
Volume 25, Issue 4, Pages 1718-1735Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/0962280213498325
Keywords
doubly censored data; pseudo-observations; regression; semiparametric; survival analysis
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Funding
- NSF [DMS-0604931]
- [P30 CA014520-36]
- [UL1 RR025011-03]
- [R21 CA132267-02]
- [W81XWH-08-1-0341]
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Doubly censored data often arise in medical studies of disease progression involving two related events for which both an originating and a terminating event are interval-censored. Although regression modeling for such doubly censored data may be complicated, we propose a simple semiparametric regression modeling strategy based on jackknife pseudo-observations obtained using nonparametric estimators of the survival function. Inference is carried out via generalized estimating equations. Simulations studies show that the proposed method produces virtually unbiased covariate effect estimates, even for moderate sample sizes. A prostate cancer study example illustrates the practical advantages of the proposed approach.
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