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Logistic Regression Models
  • Language: en
  • Pages: 658

Logistic Regression Models

  • Type: Book
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  • Published: 2009-05-11
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  • Publisher: CRC Press

Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models t

Negative Binomial Regression
  • Language: en
  • Pages: 573

Negative Binomial Regression

This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with examples of their construction, application, interpretation and evaluation. Complete Stata and R codes are provided throughout the text, with additional code (plus SAS), derivations and data provided on the book's website. Written for the practising researcher, the text begins with an examination of risk and rate ratios, and of the estimating algorithms used to model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of the meaning and nature of overdispersion, followed by a comprehensive analysis of the negative binomial distribution and of its parameterizations into various models for evaluating count data.

Modeling Count Data
  • Language: en
  • Pages: 301

Modeling Count Data

This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.

Generalized Linear Models and Extensions, Second Edition
  • Language: en
  • Pages: 413

Generalized Linear Models and Extensions, Second Edition

  • Type: Book
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  • Published: 2007
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  • Publisher: Stata Press

Deftly balancing theory and application, this book stands out in its coverage of the derivation of the GLM families and their foremost links. This edition has new sections on discrete response models, including zero-truncated, zero-inflated, censored, and hurdle count models, as well as heterogeneous negative binomial, and more.

Quasi-Least Squares Regression
  • Language: en
  • Pages: 223

Quasi-Least Squares Regression

  • Type: Book
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  • Published: 2014-01-28
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  • Publisher: CRC Press

Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized estimating equations (GEEs). The authors present a detailed evaluation of QLS methodology, demonstrating the advantages of QLS in comparison with alternative methods. They describe how QLS can be used to extend the application of the traditional GEE approach to the analysis of unequally spaced longitudinal data, familial data, and data with multiple sources of correlation. In some settings, QLS ...

Generalized Estimating Equations
  • Language: en
  • Pages: 237

Generalized Estimating Equations

  • Type: Book
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  • Published: 2002-07-30
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  • Publisher: CRC Press

Although powerful and flexible, the method of generalized linear models (GLM) is limited in its ability to accurately deal with longitudinal and clustered data. Developed specifically to accommodate these data types, the method of Generalized Estimating Equations (GEE) extends the GLM algorithm to accommodate the correlated data encountered in heal

Practical Guide to Logistic Regression
  • Language: en
  • Pages: 170

Practical Guide to Logistic Regression

  • Type: Book
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  • Published: 2016-04-05
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  • Publisher: CRC Press

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fishe

R for Stata Users
  • Language: en
  • Pages: 549

R for Stata Users

Stata is the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and open source package for data analysis, with over 3,000 add-on packages available. This book shows you how to extend the power of Stata through the use of R. It introduces R using Stata terminology with which you are already familiar. It steps through more than 30 programs written in both languages, comparing and contrasting the two packages' different approaches. When finished, you will be able to use R in conjunction with Stata, or separately, to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. A glossary defines over 50 R terms using Stata jargon and again using more formal R terminology. The table of contents and index allow you to find equivalent R functions by looking up Stata commands and vice versa. The example programs and practice datasets for both R and Stata are available for download.

Methods of Statistical Model Estimation
  • Language: en
  • Pages: 255

Methods of Statistical Model Estimation

  • Type: Book
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  • Published: 2016-04-19
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  • Publisher: CRC Press

Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting.The text presents algorith

Generalized Estimating Equations
  • Language: en
  • Pages: 277

Generalized Estimating Equations

  • Type: Book
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  • Published: 2012-12-10
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  • Publisher: CRC Press

Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models. Numerous examples are employed throughout the text, al