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| Varianciaanalízis (ANOVA)× | Logistic Regression× | |
|---|---|---|
| Tudományterület | Kutatási statisztika | Kutatási statisztika |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | 1925 | 1958 |
| Megalkotó≠ | Ronald A. Fisher | David Roxbee Cox |
| Típus | Method | Method |
| Alapmű≠ | Fisher, R. A. (1925). Statistical Methods for Research Workers. Oliver and Boyd. link ↗ | Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗ |
| Alternatív nevek≠ | ANOVA, F-test | logit model, binomial logistic regression, LR |
| Kapcsolódó≠ | 4 | 3 |
| Összefoglaló≠ | ANOVA is a parametric statistical method developed by Ronald A. Fisher in 1925 that tests whether means differ significantly across three or more independent groups. By partitioning total variance into between-group and within-group components, ANOVA determines whether observed differences are likely due to treatment effects or random variation, making it fundamental to comparative research across medicine, psychology, agriculture, and engineering. | 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. |
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