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| Régression logistique× | Analyse de la variance multivariée (MANOVA)× | |
|---|---|---|
| Domaine≠ | Statistiques de recherche | Statistique |
| Famille≠ | Process / pipeline | Hypothesis test |
| Année d'origine≠ | 1958 | 1932 |
| Auteur d'origine≠ | David Roxbee Cox | Samuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.) |
| Type≠ | Method | Parametric multivariate mean comparison |
| Source fondatrice≠ | Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗ | Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574 |
| Alias≠ | logit model, binomial logistic regression, LR | Multivariate ANOVA, Çok Değişkenli ANOVA (MANOVA) |
| Apparentées≠ | 3 | 5 |
| Résumé≠ | Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science. | MANOVA is a parametric hypothesis test that simultaneously compares group means across multiple continuous dependent variables, controlling the inflation of Type I error that would result from running separate ANOVAs. Key multivariate test statistics — Wilks' Lambda, Pillai's Trace, Hotelling-Lawley Trace, and Roy's Greatest Root — were developed between the 1930s and 1950s, with Wilks' Lambda formalised by Samuel Stanley Wilks in 1932. |
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