Author Bios

Robert A. Muenchen is the author of R for SAS and SPSS Users, R for Stata Users, with Joe Hilbe, and Introduction to Biomedical Data Science with Bob Hoyt, et al. He is also the creator of r4stats.com, a popular web site devoted to analyzing trends in data science software, reviewing such software, and helping people learn the R language. Of the over 750 R blogs on the Internet, Feedspot rates r4stats.com the eleventh most influential.

Bob is a PStat (ASA Accredited Professional Statistician™) with 35 years of experience and the former manager of OIT Research Computing Support, and the Statistical Consulting Center, at the University of Tennessee. He has taught workshops on research computing topics for more than 500 organizations and has presented workshops in partnership with the American Statistical Association, RStudioDataCamp.com, New Horizons Computer Learning Centers, Revolution Analytics (acquired by Microsoft), and Xerox Learning Services. Bob has written or coauthored over 70 articles published in scientific journals and conference proceedings, and has provided guidance on more than 1,000 graduate theses and dissertations.

Bob has served on the advisory boards of SAS Institute, SPSS Inc., StatAce OOD, the Statistical Graphics Corporation, and PC Week Magazine. His many of his suggested improvements have been incorporated into SAS, SPSS, StatAce, JMP, jamovi, BlueSky Statistics, STATGRAPHICS and numerous R packages. His research interests include statistical computing, data graphics and visualization, text analytics, machine learning, and software user interface design.

Joseph  M. Hilbe (December 30, 1944 – March 12, 2017) was the Solar System Ambassador with NASA/Jet Propulsion Laboratory, California Institute of Technology, an adjunct professor of statistics at Arizona State, and emeritus professor at the University of Hawaii. He was an elected Fellow of the American Statistical Association and of the Royal Statistical Society and an elected member of the International Statistical Institute.

Professor Hilbe was the first editor of the Stata Technical Bulletin, later to become the Stata Journal, (1991–1993), and was software reviews editor for The American Statistician from 1997-2009. Hilbe was also the author of a number of books, including Logistic Regression Models, Negative Binomial Regression, and with Robert A. Muenchen, R for Stata users, and with J. Hardin, Generalized Linear Models and Extensions, and Generalized Estimating Equations.

Robert Hoyt, MD FACP FAMIA ABPM-CI, received his undergraduate education at the University of Virginia and his medical education at Virginia Commonwealth University. While still on active duty in the US Navy he became involved with multiple implementations of health information technology. As a result of this experience and additional education at Stanford University, he created a Health Informatics Certificate program at the University of West Florida in 2004. He is currently a clinical associate professor in the Internal Medicine Department at Virginia Commonwealth University.

In 2015 he became board certified in Clinical Informatics and in 2019 he became a fellow of the American Medical Informatics Association. 

Because there were very few up-to-date and practical textbooks on Health Informatics he launched Health Informatics: Practical Guide in 2007. The seventh edition was launched in 2018 and is available in print, PDF, Kindle, and rental versions. Textbook information is available under the Format Choices tab. Textbook proceeds are donated to informatics-related educational initiatives. Dr. Hoyt has also been involved with clinical and informatics research over the past two decades and he has published and lectured extensively in these areas. He is also a reviewer for multiple medical and informatics journals.

For the past several years Dr. Hoyt has been involved with various aspects of data science. As a result, he and Bob Muenchen are the editors of the new textbook Introduction to Biomedical Data Science, launched in December 2019.

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