Conditional or unconditional logistic regression for frequency matched case-control design?

ABSTRACT: Frequency matching is commonly used in epidemiological case control studies to balance the distributions of the matching factors between the case and control groups and to improve the efficiency of case-control designs. Applied researchers have held a common opinion that unconditional logistic regression should be used to analyze frequency matched designs and conditional logistic regression is unnecessary. However, the justification of this view is unclear. To compare the performances of ULR and CLR in terms of simplicity, unbiasedness, and efficiency in a more intuitive way, we viewed frequency matching from the perspective of weighted sampling and derived the outcome models describing how the exposure and matching factors are associated with the outcome in the matched data separately in

SUBMITTER: Wan F 

PROVIDER: S-EPMC12767220 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature