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- Title
Attributable fraction functions for censored event times.
- Authors
Chen, Li; Lin, D. Y.; Zeng, Donglin
- Abstract
Attributable fractions are commonly used to measure the impact of risk factors on disease incidence in the population. These static measures can be extended to functions of time when the time to disease occurrence or event time is of interest. The present paper deals with nonparametric and semiparametric estimation of attributable fraction functions for cohort studies with potentially censored event time data. The semiparametric models include the familiar proportional hazards model and a broad class of transformation models. The proposed estimators are shown to be consistent, asymptotically normal and asymptotically efficient. Extensive simulation studies demonstrate that the proposed methods perform well in practical situations. A cardiovascular health study is provided. Connections to causal inference are discussed.
- Subjects
FRACTIONS; BIOMETRY; RATIONAL numbers; MATHEMATICAL functions; SIMULATION methods &; models; COHORT analysis; TRANSFORMATION groups
- Publication
Biometrika, 2010, Vol 97, Issue 3, p713
- ISSN
0006-3444
- Publication type
Article
- DOI
10.1093/biomet/asq023