President, International Astrostatistics Association (2012-2015) (IAA) Co-Editor, Astrostatistics and Astroinformatics Portal (ASAIP), Penn State Univ.; https://asaip.psu.edu/ Chair, ISI Astrostatistics Committee (2008+) Co-ordinating Editor, Cambridge Series on Predictive Analytics and Editor-in-Chief, Springer Series on Astrostatistics. **** ACADEMIC AFFILIATIONS **** Emeritus Prof., Univ. of Hawaii (retired 1990). Adjunct Prof of Statistics, Arizona State Univ. (since 1992) Solar System Ambassador, Jet Propulsion Laboratory, CalTech (since 2007) Faculty, Institute for Statistical Education (Statistics.com). Teach 5 courses: Logistic Regression, Advanced Logistic Regression, Modeling Count Data, Generalized Linear Models, Modeling Longitudinal and Panel Data **** AUTHOR: BOOKS ON STATISTICS SINCE 2001 **** Hilbe (2015), "Practical Guide to Logistic Regression", Chapman & Hall/CRC (172p). Published. CRAN: LOGIT package, will be available in early September 2015. Hilbe (2014), "Modeling Count Data", Cambridge University Press (299p) CRAN: COUNT package. Honorable Mention, PROSE awards in Mathematics (2nd top mathematics book published in 2014, and top book in statistics). Hilbe (2007,2011), "Negative Binomial Regression", 2 editions, Cambridge University Press (572 p) CRAN: COUNT package. Chinese edition available in December 2015. Hilbe (2009), "Logistic Regression Models", Chapman & Hall/CRC (656 p) 2nd ed in 2016. Hilbe (2009), Solution Guide to Logistic Regression Models, Chapman & Hall/CRC (184 p) Hilbe & Robinson (2013), "Methods of Statistical Model Estimmation", Chapman & Hall/CRC (237 p) CRAN: msme package Hardin & Hilbe (2001, 2007, 2012), "Generalized Linear Models and Extensions", 3 editions, Stata-Chapman & Hall/CRC (479 p) 4th ed in late 2015. Hardin & Hilbe (2002, 2012), "Generalized Estimating Equations", 2nd ed, Chapman & Hall/CRC (277 p) Zuur, Hilbe, Eleno (2013), "Beginner's Guide to GLM and GLMM with R: A frequentist and Bayesian perspective for ecology", Highland http://www.highstat.com/BGGLM.htm Muenchen & Hilbe (2010), "R for Stata Users", Springer (524 p) Hilbe (2012),ed, "Astrostatistical Challenges for the New Astronomy", Springer (248 p) Shults & Hilbe (2014), "Quasi-least Squares Regression", Chapman & Hall/CRC (221 p) https://dbe.med.upenn.edu/biostat-research/Book-QLS Miner, Bolding, Hilbe, et al (2014), "Practical Predictive Analytics and Decisioning Systems in Medcine", Academic/Elsevier IN PREPARATION: Hilbe, R.S. de Souza and E. Ishida, "Bayesian Models for Astrophysical Data: using R/JAGS and Python/Stan", Cambridge Univ. Press. (Goal- complete May 2016) Hardin & Hilbe, "Generalized Linear Models and Extensions", 4th edition, Stata Press (Goal- complete October 2015). More count and binomial models discussed; new chapter on Bayesian GLMs =============================================== NOTICES --------***********************------------- SIGN-UP AT THE TOP OF THE RIGHT COLUMN OF THIS PAGE TO GET EMAIL NOTIFICATIONS ABOUT UPDATES TO ERRATA, E-BOOKS, COMPUTER CODE, ETC. EMAIL Please use: firstname.lastname@example.org or email@example.com Stat/Transfer 12 now out. Fantastic software for converting data between statistical packages. I highly recommend. www.stattransfer.com 5 Feb, 2015: The American Publishers Awards for Professional and Scholarly Excellence 2014(PROSE awards): Modeling Count Data, Honorable Mention, in Mathematics (2nd top mathematics book published in 2014, and top book in statistics). LOGIT package for CRAN is planned to be ready in early September 2015. I'll announced when prepared. R data files and functions are now available on this website. I'll advise when on CRAN. LOGIT is the R support package for Practical Guide to Logistic Regression. A new errata page was posted 10 August, 2015.
Practical Guide to Logistic Regression
Errata and Comments for Practical Guide to Logistic Regression
R code for Practical Guide to Logistic Regression
SAS code-only for Practical Guide to Logistic Regression
Modeling Count Data
Modeling Count Data: Errata and Comments PDF. Will be updated on a continuing basis.
Extensions to Modeling Count Data provides additional code and discussion of methodology from what exists...
Negative Binomial Regression 2nd edition
Errata and Comments for 2nd printing of NBR2, 2nd edition. Previous errata from first printing...
NBR2 Errata and Comments (2012)
Errata and Comments for Negative Binomial Regression, 2nd edition
Negative Binomial Regression Extensions is an e-book extension of Negative Binomial Regression, 2nd edition, with...
NBR2 Stata Data Files (2011)
Stata Data files for Negative Binomial Regression, 2nd edition
Logistic Regression Models
Stata Ado-Do files for Logistic Regression Models
Stata Data Files for LRM (2011)
Stata data files for Logsitic Regression Models
LRM R data files (2011)
R data files for Logistic Regression Models
Generalized Linear Models and Extensions 3rd Edition
GLME3 ado and do files (116 in total)
GLME3 Data and AdoDo Files (2012)
A listing of Data Sets and Stata software commands and do files in GLME3 book
Generalized Estimating Equations, 2nd Ed
GEE-2 R Data Files (2013)
Generalized Estimating Equations, 2nd edition Publsihed: 10 December, 2012 R Data Files
Generalized Estimating Equations, 2nd edition Published: 10 December, 2012 R scripts and functions
GEE-2 Stata Data Files (2013)
Generalized Estimating Equations, 2nd edition Published: 10 December, 2012 Datasets
Errata and Comments for: Generalized Estimating Equations, 2nd Ed (with James W. Hardin) (2013)
Errata and Comments for Hardin & Hilbe, Generalized Estimating Equations, 2nd ed (published 10 Dec,...
Methods of Statistical Model Estimation
ERRATA and COMMENTS for Methods of Statistical Model Estimation (with Andew P. Robinson) (2014)
Errata and comments for Hilbe and Robinson's Methods of Statistical Model Estimation, Chapman & Hall/CRC...
A basic overview of how to model and interpret a logistic regression model, as well...
Beta Binomial Regression (2013)
Monograph on how to construct, interpret and evaluate beta, beta binomial, and zero inflated beta-binomial...
Derivation of a scaled binomial as an instance of a general discrete exponential distribution (1994)
Generalized Linear Models: Software Implementation and the Structure of a General Power-link based GLM Algorithm (1993)
Generalized linear modeling (GLM) is currently undergoing a renaissance. The number of software packages offering...
The negative binomial (NB) is a member of the exponential family of discrete probability distributions....
Risk, Odds, and their Ratios (2011)
A brief monograph explaining the meaning of the terms, risk, risk ratio, odds, and odds...
The creation of synthetic models allows a researcher to better understand models as well as...
Creation of Synthetic Discrete Response Regression Models, Stata Journal (2010)
The development and use of synthetic regression models has proven to assist statisticians in better...
Statistical Software Review
International Astrostatistics Association
Overview of the history, purpose, Council and officers of the International Astrostatistics Association (IAA)