1. Proportional mean residual life model for right-censored length-biased data.
- Author
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Chan, Kwun Chuen Gary, Chen, Ying Qing, and Di, Chong-Zhi
- Subjects
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CROSS-sectional method , *STATISTICAL sampling , *STATISTICAL bias , *CENSORING (Statistics) , *SURVIVAL analysis (Biometry) - 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. [ABSTRACT FROM PUBLISHER]
- Published
- 2012
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