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Line 1: Conditional logistic regression is an extension of [[logistic regression]] that allows to take into account [[stratification (clinical trials)\|stratification]] and [[Matching (statistics)\|matching]]. Its main field of application is [[observational studies]] and in particular [[epidemiology]]. It was designed in 1978 by [[Norman Breslow]], [[Nicholas Day]], K. T. Halvorsen, Ross L. Prentice and C. Sabai.<ref>{{cite journal \| author = Breslow, N. E., Day, N. E., Halvorsen, K. T., Prentice, R. L., & Sabai, C.\| title = Estimation of multiple relative risk functions in matched case-control studies. \| journal = American Journal of Epidemiology \| date = 1978 \| volume = 108 \| issue = 4 \| pages = 299-307 }}</ref> It is the most flexible and general procedure for matched data. ==Motivation==

Conditional logistic regression: Difference between revisions