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Identifying Risk Factors Related to Premature Birth Through Proportional Odds Ordinal Logistic and Binary Logistic Regression

机译：通过比例赔率序数逻辑和二元逻辑回归识别与早产儿的风险因素

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作者
Elwood, Clayton.;
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作者单位

Duquesne University.;

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授予单位 Duquesne University.;
学科
学位 M.S.
年度 2019
页码 76 p.
总页数 76
原文格式 PDF
正文语种 eng
中图分类 AAI22583997;
关键词
CDC natality dataset; Ordinal logistic regression; Premature birth; Proportional odds model;

机译：CDC Natity数据集;序数逻辑回归;早产;比例赔率模型;

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专利

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. Identifying Prognosis Factors of Pathological Staging Among Colorectal Patients Using Ordinal Logistic Regression Model [C] . NOR AZURA MD GHANI, KHAIRUL ASRI MOHD GHANI, ZAMALIA MAHMUD, Mathematical models and methods in modern science . 2012

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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. Using Binary Logistic Regression Models for Ordinal Data with Non-Proportional Odds [O] . Ralf Bender, Ulrich Grouven 1998

机译：使用具有非比例赔率的有序数据的二元Logistic回归模型

Identifying Risk Factors Related to Premature Birth Through Proportional Odds Ordinal Logistic and Binary Logistic Regression

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