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| 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 |
| Anil C. Mathew, Elbin Siby, Amal Tom, Senthil Kumar R |
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Phys Act Nutr. 2021;25(1):30-34. Published online March 31, 2021 DOI: https://doi.org/10.20463/pan.2021.0005 |
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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 Physical Activity and Nutrition. 2021;25(1):30-34  Using Binary Logistic Regression Models for Ordinal Data with Non-proportional Odds Journal of Clinical Epidemiology. 1998;51(10):809-816 Non-proportional odds multivariate logistic regression of ordinal family data Biometrical Journal. 2014;57(2):286-303 Cox Proportional Hazards Regression Model Springer Series in Statistics. 2015;475-519 Ordinal Logistic Regression Springer Series in Statistics. 2015;311-325 Regression Models for Continuous Y and Case Study in Ordinal Regression Springer Series in Statistics. 2015;359-387 Ordinal Logistic Regression Springer Series in Statistics. 2001;331-343 Using Conditional Logistic Regression to Fit Proportional Odds Models to Interval Censored Data Biometrics. 2000;56(2):511-518 Binary Logistic Regression Springer Series in Statistics. 2015;219-274 General Aspects of Fitting Regression Models Springer Series in Statistics. 2015;13-44 |
