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Using Binary Logistic Regression Models for Ordinal Data with Non-Proportional Odds

机译：使用具有非比例赔率的有序数据的二元Logistic回归模型

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Ralf Bender; Ulrich Grouven;
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年度 1998
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1. Using binary logistic regression models for ordinal data with non-proportional odds. [J] . Bender R, Grouven U Journal of Clinical Epidemiology . 1998,第10期

机译：对具有非比例赔率的序数数据使用二进制逻辑回归模型。
2. Non-proportional odds multivariate logistic regression of ordinal family data [J] . Zaloumis Sophie G., Scurrah Katrina J., Harrap Stephen B., Biometrical Journal . 2015,第2期

机译：序数家庭数据的非比例赔率多元逻辑回归
3. Fitting Proportional Odds Models to Educational Data with Complex Sampling Designs in Ordinal Logistic Regression [J] . Xing Liu, Hari Koirala Journal of Modern Applied Statistical Methods . 2013,第1期

机译：在序数Logistic回归中采用复杂抽样设计将比例赔率模型拟合到教育数据
4. Assessing Accident Risk using Ordinal Regression and Multinomial Logistic Regression Data Generation [C] . Gulsum Alicioglu, Bo Sun, Shen Shyang Ho International Joint Conference on Neural Networks . 2020

机译：使用序数回归和多项式Logistic回归数据生成评估事故风险
5. A study of the behaviors of test statistics in the binary logistic regression model, the proportional odds ordinal logistic regression model, and the proportional hazards model [D] . McBride, Mark Leon 2000

机译：二元逻辑回归模型，比例赔率序数逻辑回归模型和比例风险模型中检验统计量行为的研究
6. Applications of proportional odds ordinal logistic regression models and continuation ratio models in examining the association of physical inactivity with erectile dysfunction among type 2 diabetic patients [O] . Anil C. Mathew, Elbin Siby, Amal Tom, 2021

机译：比例阶数序序回归模型及延续比模型在2型糖尿病患者中勃起功能障碍术后勃起功能障碍的关联
7. Fitting Proportional Odds Models to Educational Data with Complex Sampling Designs in Ordinal Logistic Regression [O] . Liu Xing, Koirala Hari 2013

机译：在序数Logistic回归中利用复杂抽样设计拟合比例赔率模型对教育数据的影响
8. Constructing and Testing Logistic Regression Models for Binary Data: Applicationsto the National Fire Danger Rating System [R] . Loftsgaarden, D. O., Andrews, P. L. 1992

机译：构建和测试二元数据的Logistic回归模型：应用于国家火灾危险评级系统

Using Binary Logistic Regression Models for Ordinal Data with Non-Proportional Odds

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