ordinal logistic regression

Logistic Regression

Journal: :Circulation 2008

Ordered Logit Regression Modeling of the Self-Rated Health in Hawai‘i, With Comparisons to the OLS Model

2016

Hosik Min

Despite the ordinal nature of Self-Rated Health (SRH) variable, logistic regression models or regression models have been used without adequate justification for these applications. It is shown that ordered-logit regression model is the appropriate statistical strategy to estimate SRH, whereas the Ordinary LeastSquares model leads to biased conclusions.

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Revealing Facts and Avoiding Biases: A Review of Several Common Problems in Statistical Analyses of Epidemiological Data

2016

Lihan Yan Yongmin Sun Michael R. Boivin Paul O. Kwon Yuanzhang Li

This paper reviews several common challenges encountered in statistical analyses of epidemiological data for epidemiologists. We focus on the application of linear regression, multivariate logistic regression, and log-linear modeling to epidemiological data. Specific topics include: (a) deletion of outliers, (b) heteroscedasticity in linear regression, (c) limitations of principal component ana...

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Ordered Logit Regression Modeling of the Self-Rated Health in Hawaiâ•Ÿi, With Comparisons to the OLS Model

2014

Hosik Min

Despite the ordinal nature of Self-Rated Health (SRH) variable, logistic regression models or regression models have been used without adequate justification for these applications. It is shown that ordered-logit regression model is the appropriate statistical strategy to estimate SRH, whereas the Ordinary LeastSquares model leads to biased conclusions.

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