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- Title
Proportional mean residual life model for right-censored length-biased data.
- Authors
Chan, Kwun Chuen Gary; Chen, Ying Qing; Di, Chong-Zhi
- Abstract
To study disease association with risk factors in epidemiologic studies, cross-sectional sampling is often more focused and less costly for recruiting study subjects who have already experienced initiating events. For time-to-event outcome, however, such a sampling strategy may be length biased. Coupled with censoring, analysis of length-biased data can be quite challenging, due to induced informative censoring in which the survival time and censoring time are correlated through a common backward recurrence time. We propose to use the proportional mean residual life model of Oakes & Dasu (Biometrika 77, 409–10, 1990) for analysis of censored length-biased survival data. Several nonstandard data structures, including censoring of onset time and cross-sectional data without follow-up, can also be handled by the proposed methodology.
- Subjects
CROSS-sectional method; STATISTICAL sampling; STATISTICAL bias; CENSORING (Statistics); SURVIVAL analysis (Biometry)
- Publication
Biometrika, 2012, Vol 99, Issue 4, p995
- ISSN
0006-3444
- Publication type
Article
- DOI
10.1093/biomet/ass049