方法证据记录
Ordinal Logistic Regression
Ordinal 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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Ordinal Logistic Regression (Proportional-Odds Model)
分类方法记录 · regression-model / statistics
- McCullagh, P. (1980). Regression models for ordinal data. Journal of the Royal Statistical Society: Series B (Methodological), 42(2), 109–142. · DOI 10.1111/j.2517-6161.1980.tb01109.x
- Agresti, A. (2010). Analysis of Ordinal Categorical Data (2nd ed.). John Wiley & Sons. · ISBN 978-0470082898
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