Estimation of Absolute Risk from Nested Case-Control Data

Benichou and Gail (1995, Biometrics 51, 182-194) describe methods for estimating the absolute risk of developing disease given a set of covariate values over a specified time interval from a case-control study within a cohort. The methods are most suitable for unmatched case-control studies, and are...

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Veröffentlicht in:Biometrics 1997-06, Vol.53 (2), p.767-774
Hauptverfasser: Langholz, Bryan, Borgan, Ørnulf
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description Benichou and Gail (1995, Biometrics 51, 182-194) describe methods for estimating the absolute risk of developing disease given a set of covariate values over a specified time interval from a case-control study within a cohort. The methods are most suitable for unmatched case-control studies, and are restricted to categorical covariates. Expanding on methods for estimating relative mortality from nested case-control studies presented in Borgan and Langholz (1993, Biometrics 49, 593-602), we present methods for estimating absolute risk from individually matched nested case-control data. These methods accommodate continuous and time-dependent covariate histories, the sampling of cases, and various control sampling designs.
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subjects Adult
Aged
Biometrics
Biometry - methods
Case control studies
Cigarette smoking
Cohort Studies
Colorado - epidemiology
Data Interpretation, Statistical
Estimation methods
Estimators
Humans
Interval estimators
Lung neoplasms
Lung Neoplasms - etiology
Lung Neoplasms - mortality
Male
Middle Aged
Mining
Mortality
Neoplasms, Radiation-Induced - etiology
Neoplasms, Radiation-Induced - mortality
Occupational Diseases - etiology
Occupational Diseases - mortality
Occupational Exposure
Proportional Hazards Models
Radon
Radon - adverse effects
Reader Reaction
Risk
Statistical variance
Uranium - adverse effects
title Estimation of Absolute Risk from Nested Case-Control Data
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