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Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling

Provides a unified framework for both single-level and multilevel modeling of ordinal categorical data;

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Data Analysis Using Stata

Using examples from a German longitudinal study, Data Analysis Using Stata provides a comprehensive introduction to Stata with an emphasis;

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Categorical Data Analysis and Multilevel Modeling Using R

Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal;

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Logistic Regression

regression model in detail Illustrates concepts with applied examples to help readers understand how concepts are translated into the logistic;

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Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret;

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Regression Models for Categorical Dependent Variables Using Stata

Models for Categorical Dependent Variables Using Stata, Second Edition , fills this void, showing how to fit and interpret regression models for;

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A Course in Item Response Theory and Modeling with Stata

logistic regression. Application-oriented discussions follow next. These cover the one-, two-, and three-parameter logistic models, polytomous item;

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Data Analysis Using Regression & Multi

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;

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Data Analysis Using Regression and Multilevel/Hierarchical Models

"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to;

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Ordered Regression Models

models, and the Bayesian approach to ordered regression models. Some chapters include brief examples using Stata and R. This book offers a;

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Ordered Regression Models

ordered models, and the Bayesian approach to ordered regression models. Some chapters include brief examples using Stata and R. This book;

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Applied Logistic Regression

A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded;

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Biostatistics and Computer-based Analysis of Health Data using Stata

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data;

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Multilevel Modeling of Categorical Outcomes Using IBM SPSS

This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers;

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Multilevel Modeling of Categorical Outcomes Using IBM SPSS

This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers;

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Logistic Regression Models

Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially;

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Logistic Regression Models

Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially;

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Logistic Regression

Regression; Chapter 10 - Ordinal Logistic Regression; Chapter 11 - Logistic Regression for Correlated Data; Chapter 12 - GEE Examples; and, Chapter;

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Practical Guide to Logistic Regression

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly;

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Practical Guide to Logistic Regression

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly;

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Multilevel and Longitudinal Modeling Using Stata, Volume I

part provides a review of the methods of linear regression. The second part provides an in-depth coverage of the two-level models, the simplest;

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An Introduction to Generalized Linear Models

multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival analysis, multilevel modeling, Bayesian;

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Applied Regression Modeling

Edition of Applied Regression Modeling delivers a concise but comprehensive treatment of the application of statistical regression analysis for;

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An Introduction to Generalized Linear Models

this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival;

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An Introduction to Generalized Linear Models

this foundation, the authors explore multiple linear regression, analysis of variance (ANOVA), logistic regression, log-linear models, survival;

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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Biostatistics in Public Health Using STATA

Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to;

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