TY  - JOUR
PY  - 1997//
TI  - Estimation of absolute risk from nested case-control data
JO  - Biometrics
A1  - Langholz, B.
A1  - Borgan, O.
SP  - 767
EP  - 774
VL  - 53
IS  - 2
N2  - 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>
LA  - en
SN  - 0006-341X
UR  - http://dx.doi.org/
ID  - ref1
ER  -