title: Exact versus asymptotic analysis for a matched case-control study.
abstract: We compare exact and asymptotic methods for variable selection in matched case-control studies. Data from a study of melanoma among the employees of the Lawrence Livermore National Laboratory illustrate the comparisons. Relative to large sample methods, the exact method almost always yielded larger p-values. The differences in p-values became more pronounced with inclusion of more variables in the logistic model. Thus, when the sample size is not large, and there are many covariates under study, use of the exact method tends to select more parsimonious models and avoids overfit of the data.
authors.affiliation: Department of Biomathematics, UCLA School of Medicine 90024-1766.
authors.forename: K F
authors.initials: KF
authors.lastname: Hirji
authors.forename: R M
authors.initials: RM
authors.lastname: Elashoff
authors.forename: D H
authors.initials: DH
authors.lastname: Moore
authors.forename: D E
authors.initials: DE
authors.lastname: Bennett
mesh_terms: D000465:Algorithms; D004812:Epidemiologic Methods; D006801:Humans; D008432:Mathematical Computing; D008545:Melanoma / Q000453:epidemiology; D009784:Occupational Diseases / Q000453:epidemiology; D012044:Regression Analysis; D012307:Risk Factors; D012985:Software Design; D013223:Statistics as Topic