Estimation of Absolute Risk from Nested Case-Control Data

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 restricted to categorical covariates. Expanding on methods for estimating relative mortality fro...

Nonparametric estimation of relative mortality from nested case-control studies.

Andersen et al. (1985, Biometrics 41, 921-932) gave an estimator of the cumulative relative mortality comparing rates of death in an epidemiologic cohort to an external population as a function of time when covariate information is available on all cohort members. We present an analogous estimator when covariate information is known only on a nested case-control sample. Counting process techniq...

Breaking the matching in nested case-control data offered several advantages for risk estimation.

OBJECTIVE To demonstrate the advantage of using weighted Cox regression to analyze nested case-control data in overcoming limitations encountered with traditional conditional logistic regression. STUDY DESIGN AND SETTING We analyzed data from 1,051 women who were sampled in a case-control study of lung cancer nested within a cohort of breast cancer patients. We investigated how lung cancer ri...

Risk Factors for Falls in Hospital In-Patients: A Prospective Nested Case Control Study

Background Patient falls are considered a challenge to the patient’s safety in hospitals, which, in addition to increasing the length of stay and costs, may also result in severe injuries or even the death of the patient. This study aims to investigate the associations between risk factors among fallers in comparison with the control group.   Methods A prospective nested...

Case–Control Study, Nested