Digital Commons Network^™

Hilbe Mcd E-Book2016 Errata 03nov2016, Joseph M. Hilbe

Joseph M Hilbe

Calculating Odds Ratios From Probabillities, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data; Errata And Additions

Joseph M Hilbe

Mdc-R-Code 2016 Update, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data: R code for download and use. Most recent update

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.

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

Joseph M Hilbe

Errata and Comments for Practical Guide to Logistic Regression

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

Joseph M Hilbe

SAS code-only for Practical Guide to Logistic Regression

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

Joseph M Hilbe

SAS code for Practical Guide to Logistic Regression

Negative Binomial Regerssion, 2nd Ed, 2nd Print, Errata And Comments, Joseph Hilbe

Joseph M Hilbe

Errata and Comments for 2nd printing of NBR2, 2nd edition. Previous errata from first printing all corrected. Some added and new text as well.

Mdc-Stata-Code, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data, Stata code in book for use

Mdc-R-Code, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data: R code in book provided for use

Extensions To Modeling Count Data, Joseph M. Hilbe

Joseph M Hilbe

Extensions to Modeling Count Data provides additional code and discussion of methodology from what exists in Hilbe, Modeling Count Data (2014). The book is designed to be basic, and of fewer than 300 pages. Some topics were excluded that might be helpful to analysts in modeling counts.

Mcd-Description, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data - description of Data Files with examples using R, Stata and SAS

Mcd-Information-, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data - Information about book and resources

Mcd Information, Joseph M. Hilbe

Joseph M Hilbe

Information on Modeling Count Data

Mcd Description Data Files: Stata-R-Sas-Excel, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data: Description of Data Files R, Stata, SAS examples

Mcd-Figures-Code, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data, code for Figures in book - R and Stata

Mdc-Sas-Code, Joseph M. Hilbe

Joseph M Hilbe

Modeling Count Data, SAS files for download and use

Errata - Logistic Regression Models, Joseph Hilbe

Joseph M Hilbe

Errata for Logistic Regression Models, 4th Printing

Interpretation And Prediction Of A Logistic Model, Joseph M. Hilbe

Joseph M Hilbe

A basic overview of how to model and interpret a logistic regression model, as well as how to obtain the predicted probability or fit of the model and calculate its confidence intervals. R code used for all examples; some Stata is provided as a contrast.

Errata And Comments For Methods Of Statistical Model Estimation, Joseph M. Hilbe, Andew P. Robinson

Joseph M Hilbe

Errata and comments for Hilbe and Robinson's Methods of Statistical Model Estimation, Chapman & Hall/CRC (2013)

Beta Binomial Regression, Joseph M. Hilbe

Joseph M Hilbe

Monograph on how to construct, interpret and evaluate beta, beta binomial, and zero inflated beta-binomial regression models. Stata and R code used for examples.

Errata And Comments For: Generalized Estimating Equations, 2nd Ed, Joseph M. Hilbe, James W. Hardin

Joseph M Hilbe

Errata and Comments for Hardin & Hilbe, Generalized Estimating Equations, 2nd ed (published 10 Dec, 2012)

Nbr2 Errata And Comments, Joseph Hilbe

Joseph M Hilbe

Errata and Comments for Negative Binomial Regression, 2nd edition

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 …

International Astrostatistics Association, Joseph Hilbe

Joseph M Hilbe

Overview of the history, purpose, Council and officers of the International Astrostatistics Association (IAA)

Glme3 Data And Adodo Files, Joseph Hilbe

Joseph M Hilbe

A listing of Data Sets and Stata software commands and do files in GLME3 book

Risk, Odds, And Their Ratios, Joseph Hilbe

Joseph M Hilbe

A brief monograph explaining the meaning of the terms, risk, risk ratio, odds, and odds ratio and how to calculate each, together with standard errors and confidence intervals. Stata code is provided showing how all of the terms can be calculated by hand, as well as by using logistic and Poisson models.

Negative Binomial Regression Extensions, Joseph Hilbe

Joseph M Hilbe

Negative Binomial Regression Extensions is an e-book extension of Negative Binomial Regression, 2nd edition, with added R and Stata code, and SAS macros all related to count models.

Suppliment To Logistic Regression Models, Joseph Hilbe

Joseph M Hilbe

No abstract provided.