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Fišerov egzaktni test×Logistička regresija×
OblastStatistikaIstraživačka statistika
PorodicaHypothesis testProcess / pipeline
Godina nastanka19221958
TvoracR. A. FisherDavid Roxbee Cox
TipExact test of independence for categorical dataMethod
Temeljni izvorFisher, R. A. (1922). On the interpretation of chi-squared from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87–94. DOI ↗Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗
Drugi naziviFisher-Irwin test, exact test of independence, Fisher'ın Kesin Testilogit model, binomial logistic regression, LR
Srodne23
SažetakFisher's exact test is a nonparametric exact-probability test of independence for small-sample contingency tables, introduced by R. A. Fisher in 1922. Rather than relying on a large-sample approximation, it computes the exact probability of the observed table directly from the hypergeometric distribution.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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ScholarGateUporedite metode: Fisher's exact test · Logistic Regression. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare