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.
- Comment
- 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.
- Has abstract
- 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.
- Hypernym
- Model
- Is primary topic of
- Conditional logistic regression
- Label
- enConditional logistic regression
- Link from a Wikipage to another Wikipage
- 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)
- SameAs
- m.012w70lv
- Q19596443
- Regresión logística condicional
- sAvv
- Subject
- Category:Logistic regression
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- Conditional logistic regression?oldid=1122153789&ns=0
- WikiPageLength
- 6655
- Wikipage page ID
- 45447625
- Wikipage revision ID
- 1122153789
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- Template:Reflist