Conditional logistic regression

Conditional logistic regression is an extension of logistic regression that allows one to take into account stratification and matching. Its main field of application is observational studies and in particular epidemiology. It was devised in 1978 by Norman Breslow, Nicholas Day, Katherine Halvorsen, Ross L. Prentice and C. Sabai. It is the most flexible and general procedure for matched data.

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enConditional logistic regression is an extension of logistic regression that allows one to take into account stratification and matching. Its main field of application is observational studies and in particular epidemiology. It was devised in 1978 by Norman Breslow, Nicholas Day, Katherine Halvorsen, Ross L. Prentice and C. Sabai. It is the most flexible and general procedure for matched data.
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enConditional logistic regression is an extension of logistic regression that allows one to take into account stratification and matching. Its main field of application is observational studies and in particular epidemiology. It was devised in 1978 by Norman Breslow, Nicholas Day, Katherine Halvorsen, Ross L. Prentice and C. Sabai. It is the most flexible and general procedure for matched data.
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Conditional logistic regression
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enConditional logistic regression
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Category:Logistic regression
Cochran-Mantel-Haenszel test
Confounding
Epidemiology
Katherine Halvorsen
Logistic regression
Matching (statistics)
Maximum likelihood estimation
Nick Day (statistician)
Norman Breslow
Observational studies
Paired difference test
Ross L. Prentice
Score test
Stratification (clinical trials)
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m.012w70lv
Q19596443
Regresión logística condicional
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Category:Logistic regression
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