Conditional logistic regression: Difference between revisions

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{{Short description|Statistical technique}}

'''Conditional logistic regression''' is an extension of [[logistic regression]] that allows one to account for [[stratification (clinical trials)|stratification]] and [[Matching (statistics)|matching]]. Its main field of application is [[observational studies]] and in particular [[epidemiology]]. It was devised in 1978 by [[Norman Breslow]], [[Nick Day (statistician)|Nicholas Day]], [[Katherine Halvorsen]], [[Ross L. Prentice]] and C. Sabai.<ref name="pmid727199">{{cite journal|vauthors=Breslow NE, Day NE, Halvorsen KT, Prentice RL, Sabai C| title=Estimation of multiple relative risk functions in matched case-control studies. | journal=Am J Epidemiol | year= 1978 | volume= 108 | issue= 4 | pages= 299–307 | pmid=727199 | doi= 10.1093/oxfordjournals.aje.a112623| url=https://pubmed.ncbi.nlm.nih.gov/727199 }} </ref> It is the most flexible and general procedure for matched data.

==Background==

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==Related tests==

* A [[Pairedpaired difference test]] allows tocan test the association between a binary outcome and a continuous predictor while taking into account pairing.

* A [[Cochran-Mantel-Haenszel test]] allows tocan test the association between a binary outcome and a binary predictor while taking into account stratification with arbitrary strata size. When its conditions of application are verified, it is identical to the conditional logistic regression [[score test]].<ref>{{cite journal | author = Day, N. E., Byar, D. P.| title = Testing hypotheses in case-control studies-equivalence of Mantel-Haenszel statistics and logit score tests. | journal = Biometrics | date = 1979 | volume = 35 | issue = 3 | pages = 623–630 | doi=10.2307/2530253| jstor = 2530253 | pmid = 497345 }}</ref>

==Notes==