Jump to Main Content
Matched CaseâControl Data Analysis with Selection Bias
- Lin, IâFeng, Paik, Myunghee Cho
- Biometrics 2001 v.57 no.4 pp. 1106-1112
- biometry, case-control studies, computer software, equations, probability, stroke, surveys
- Caseâcontrol studies offer a rapid and efficient way to evaluate hypotheses. On the other hand, proper selection of the controls is challenging, and the potential for selection bias is a major weakness. Valid inferences about parameters of interest cannot be drawn if selection bias exists. Furthermore, the selection bias is difficult to evaluate. Even in situations where selection bias can be estimated, few methods are available. In the matched caseâcontrol Northern Manhattan Stroke Study (NOMASS), strokeâfree controls are sampled in two stages. First, a telephone survey ascertains demographic and exposure status from a large random sample. Then, in an inâperson interview, detailed information is collected for the selected controls to be used in a matched caseâcontrol study. The telephone survey data provides information about the selection probability and the potential selection bias. In this article, we propose biasâcorrected estimators in a caseâcontrol study using a joint estimating equation approach. The proposed biasâcorrected estimate and its standard error can be easily obtained by standard statistical software.