Titlebook: Regression Modeling Strategies; With Applications to Frank E. Harrell , Jr. Textbook 2015Latest edition Springer Nature Switzerland AG 2015

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https://doi.org/10.1007/978-3-319-19425-7Generalized least squares; Linear models; Logistic regression; Predictive modeling; R statistical softwa

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Regression Modeling Strategies978-3-319-19425-7Series ISSN 0172-7397 Series E-ISSN 2197-568X

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0172-7397 uares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model. A new emphasis is given to the robust anal978-3-319-33039-6978-3-319-19425-7Series ISSN 0172-7397 Series E-ISSN 2197-568X

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Ordinal Logistic Regression, methods to continuous responses so as to obtain robust inferences. For example, the proportional odds model described later allows for a continuous . and is really a generalization of the Wilcoxon–Mann–Whitney rank test. Thus the semiparametric proportional odds model is a direct competitor of ordinary linear models.

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