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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