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Regresioni Logjistik Ordinal×Regresioni logjistik×
FushaStatistikëStatistika e hulumtimit
FamiljaRegression modelProcess / pipeline
Viti i origjinës19801958
KrijuesiPeter McCullaghDavid Roxbee Cox
LlojiOrdinal regression / GLMMethod
Burimi themeluesMcCullagh, P. (1980). Regression models for ordinal data. Journal of the Royal Statistical Society: Series B (Methodological), 42(2), 109–142. DOI ↗Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗
Emërtime të tjeraproportional-odds model, cumulative link model, ordered logit, OLRlogit model, binomial logistic regression, LR
Të lidhura63
PërmbledhjaOrdinal logistic regression — most commonly the proportional-odds model — estimates the relationship between one or more predictors and an ordered categorical outcome (e.g., Likert scales, disease severity grades, educational attainment levels). It models cumulative log-odds across the ordered categories while assuming a single shared effect of each predictor at all thresholds.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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  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Ordinal Logistic Regression · Logistic Regression. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare