@article{ref1,
title="Estimation of absolute risk from nested case-control data",
journal="Biometrics",
year="1997",
author="Langholz, B. and Borgan, O.",
volume="53",
number="2",
pages="767-774",
abstract="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.<p /><p>Language: en</p>",
language="en",
issn="0006-341X",
doi="",
url="http://dx.doi.org/"
}