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Practical Guide to Logistic Regression

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Addition To Pglr Chap 6, Joseph M. Hilbe Aug 2016

Addition To Pglr Chap 6, Joseph M. Hilbe

Joseph M Hilbe

Addition to Chapter 6 in Practical Guide to Logistic Regression. Added section on Bayesian logistic regression using Stata.

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Hilbe-Pglr-Errata-And-Comments, Joseph M. Hilbe Mar 2016

Hilbe-Pglr-Errata-And-Comments, Joseph M. Hilbe

Joseph M Hilbe

Errata and Comments for Practical Guide to Logistic Regression

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Pglr-Sas Data, Joseph M. Hilbe Jul 2015

Pglr-Sas Data, Joseph M. Hilbe

Joseph M Hilbe

SAS data files for Practical Guide to Logistic Regression

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R Code For Practical Guide To Logistic Regression, Joseph M. Hilbe Jul 2015

R Code For Practical Guide To Logistic Regression, Joseph M. Hilbe

Joseph M Hilbe

R code for Practical Guide to Logistic Regression

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Pglr-Stata Data Files, Joseph M. Hilbe Jul 2015

Pglr-Stata Data Files, Joseph M. Hilbe

Joseph M Hilbe

Stata data files for Practical Guide to Logistic Regression

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Sas Code Only For Practical Guide To Logistic Regression, Joseph M. Hilbe Jul 2015

Sas Code Only For Practical Guide To Logistic Regression, Joseph M. Hilbe

Joseph M Hilbe

SAS code-only for Practical Guide to Logistic Regression

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Sas Code & Output For Practical Guide To Logistic Regression, Joseph M. Hilbe Jul 2015

Sas Code & Output For Practical Guide To Logistic Regression, Joseph M. Hilbe

Joseph M Hilbe

SAS code for Practical Guide to Logistic Regression

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Generalized Estimating Equations, Second Edition.Pdf, James W. Hardin, Joseph M.. Hilbe Dec 2012

Generalized Estimating Equations, Second Edition.Pdf, James W. Hardin, Joseph M.. Hilbe

Joseph M Hilbe

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, along with the software code used to create, run, and evaluate the models being examined. Stata is used as the primary software for running and displaying modeling output; associated R code is also given to allow R users to replicate Stata examples. Specific examples of SAS usage are provided in …

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