FACULTY
Paul Allison, Professor of Sociology at the University of Pennsylvania. He is the author of Missing Data (Sage 2001), Multiple Regression: A Primer (Pine Forge 1999), Survival Analysis Using SAS: A Practical Guide (SAS Institute 1995), Event History Analysis (Sage 1984), several other books, and numerous articles on regression analysis, log-linear analysis, logit analysis, latent variable models, missing data, and inequality measures. A former Guggenheim Fellow, he is also on the editorial board of Sociological Methods and Research. In 2001 he received the Paul Lazarsfeld Memorial Award for Distinguished Contributions to Sociological Methodology.
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| Anthony Babinec, President of AB Analytics. For over two decades, Tony Babinec has specialized in the application of statistical and data mining methods to the solution of business problems. Tony has multiple degrees from the University of Chicago, where he studied Advanced Statistics and Survey Research. Before forming AB Analytics, Babinec was Director of Business Development and Director of Advanced Products Marketing at SPSS; he worked on the marketing of Clementine and introduced CHAID, neural nets and other advanced technologies to SPSS. He has presented at the AMA's Applied Research Methods Conference, the AMA's ART Forum, Henry Stewart Conferences, the Sawtooth Software Conference, Statistical Innovation's Statistical Modeling Week, and numerous professional meetings. He is on the Board of Directors of the Chicago Chapter of the American Statistical Association, where he has held various offices including President. He is on the Editorial Board of the Journal of Targeting, Measurement and Analysis for Marketing.
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| Nancy Barker, consulting biostatistician and a co-author of ActivEpi Companion Text. Dr. Barker has over 10 years of experience teaching short courses in epidemiology and biostatistics at Emory University and the Centers for Disease Control and Prevention. |
Vance Berger, serves on the adjunct faculty of the University of Maryland Baltimore County. He is the author of Selection Bias and Covariate Imbalances in Randomized Clinical Trials (Wiley, 2005), and has written or co-written dozens of papers in peer reviewed journals in medicine and statistics. He has also taught in the past at Rutgers University and the Johns Hopkins University School of Public Health, reviews manuscripts for many of the top scholarly journals, has lectured all over the country on his research, and has served as an FDA reviewer for over four years. |
 Dave Bock, K-12 Education and Outreach Coordinator at Cornell University, where he leads AP Statistics workshops and other professional development workshops on pedagogy, curriculum, and mathematics for pre-service and current math teachers. Dave has has taught statistics at Ithaca High School, Tompkins-Cortland Community College, Ithaca College, and Cornell University and has won numerous teaching awards, including the MAA's Edyth May Sliffe Award for Distinguished High School Mathematics Teaching (twice), Cornell University's Outstanding Educator Award (three times), and has been a finalist for New York State Teacher of the Year. Dave has co-authored the AP Statistics textbook Stats: Modeling the World, two college statistics texts, and the Barron's review book How to Prepare for the AP Calculus Examination (soon to appear in its 8th edition). He has been a Reader for the AP Statistics exam (and the AP Calculus exam), serves as a statistical consultant for the College Board, leads numerous AP Statistics workshops and AP Statistics summer institutes for teachers nationwide, and is a frequent presenter at state, regional, and national conferences. |
| William M. Bolstad, has 25 years of teaching experience at the University of Waikato (New Zealand), where he currently serves in the Dept. of Statistics. Dr. Bolstad is the author of Introduction to Bayesian Statistics (the course text), and has pioneered the use of Bayesian methods in teaching the first year statistics course. |
Dr. Michael Borenstein is the co-editor (with Hannah Rothstein and Alex Sutton) of the book Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments (forthcoming Wiley). As Director of Biostat, a company that develops statistical software, Dr. Borenstein is the primary developer of Power And Precision, a computer program for sample size calculation, and of Comprehensive Meta Analysis, a computer program for meta analysis and systematic reviews. He served as Director of Biostatistics at Long Island Jewish Medical Center (1982-2002) and as Associate Professor at Albert Einstein College of Medicine (1992-2002). Dr. Borenstein has served on a number of review groups and advisory panels for the National Institutes of Health, including SBIR review groups (1994-2002) and as a member of the NIMH Data Safety Monitoring Board (1997-2001). He is an active member of the statistical advisory groups of the Cochrane and Campbell Collaborations. |
 Peter Bruce, president of statistics.com. Bruce is also the developer of Resampling Stats software (originated by Julian Simon in the 1970's), and has taught resampling statistics at the University of Maryland and in a variety of short courses. He is the co-author of Data Mining for Business Intelligence (Wiley, 2007), as well as a number of journal articles. |
| Samprit Chatterjee, Professor of Statistics at New York University and co-author of Regression Analysis by Example (the course text), now in its third edition. He has also co-authored Sensitivity Analysis in Linear Regression and A Casebook for a First Course in Statistics and Data Analysis (both Wiley). Prof. Chatterjee has been a visiting professor at Stanford University, MIT’s Sloan School of Management, Harvard School of Public Health, the Swiss Federal Institute of Technology (ETH) in Zurich, the University of Tampere and the University of Auckland (NZ).
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 Michael Chernick, Author of Bootstrap Methods: A Guide for Practitioners and Researchers (Wiley, 2007). He is also the coauthor of Introductory Biostatistics for the Health Sciences: Modern Methods including Bootstrap (Wiley, 2002). He is a Fellow of the American Statistical Association and the author of more than 30 journal articles. He is the winner of the Wolfowitz Prize in 1983 and is a Past President of the Southern California Chapter of the American Statistical Association. He has taught at California State University and the University of Southern California, has given several previous short courses on bootstrap methods and has also worked in the aerospace, medical device and pharmaceutical industries. |
 Fred Damerau, prior to his retirement, a researcher at IBM's Thomas J. Watson Research Center, Research Staff Linguistics group, where he worked on machine learning approaches to natural language processing. He is a co-author (With Weiss, Indurkhya and Zhang) of Text Mining. |
 Shailaja Deshmukh, Associate Professor in Statistics at the University of Pune, India. Shailaja's areas of interest are inference in stochastic processes, applied probability, analysis of microarray data and actuarial statistics. Her two books, Statistical Methods in Microarray Data Analysis (with Dr. Sudha Purohit) and An Introduction to Actuarial Statistics are under preparation. She has a number of research publications in various peer-reviewed journals. |
 Barbara M. Fraumeni, Professor of Public Policy and Chair of the Ph.D. Program in Public Policy Muskie School of Public Service of the University of Southern Maine. She previously served as Chief Economist of the Bureau of Economic Analysis at the US Dept. of Commerce. She is a contributor to the book Beyond the Market: Designing Nonmarket Accounts for the United States. |
Andrzej Galecki is a Research Associate Professor in the Geriatrics Center/Institute of Gerontology at the Medical School and has a joint appointment as Associate Research Scientist in the Department of Biostatistics at the School of Public Health of the University of Michigan in Ann Arbor. His research interests lie in development and application of statistical methods for analyzing correlated and overdispersed data. He is co-author of the book, Linear Mixed Models: A Practical Guide using Statistical Software, by B. West et al. (forthcoming, CRC Press). |
Anil Gore, Prof. of Statistics at the University of Pune, India. Dr. Gore is the co-author of the classic Statistical Analysis of Nonnormal Data, and has also written Numeracy for Everyone (forthcoming) and A Course in Mathematical and Statistical Ecology. Dr. Gore has a special interest in statistical ecology and is the author of several dozen articles in peer-previewed journals. |
 Huybert Groenendaal, Partner at Vose Consulting. For over two decades, Vose Consulting has provided clients worldwide with the highest quality risk analysis techniques and methods. Huybert helps and consults clients in industry and government on projects that include financial investment evaluations, project risk analysis, forecasting, operations, transportation logistics, epidemiology and more. Dr. Groenendaal also organizes and teaches "Quantitative Risk Analysis", "Project Risk Analysis", and "Corporate Risk Analysis" courses and workshops worldwide and has taught on risk analysis in the executive MBA program of the University of Texas at Dallas. Dr. Groenendaal has an MBA in Finance from the Wharton School of Business, a Masters in Animal Science and a PhD in Risk Analysis from Wageningen University in The Netherlands. |
James Hardin, Research Scientist in the Center for Health Services and Policy Research and Associate Research Professor in the Department of Epidemiology and Biostatistics with the University of South Carolina School of Public Health. He is the author of Stata’s gee command, and is co-author (with Hilbe) of Stata’s current glm command. He is also co-author (with Prof. Hilbe) of Generalized Linear Models and Extensions (Stata Press) and Generalized Estimating Equations, (CRC). Dr. Hardin has also lectured widely in the area and has currently been developing software to extend the GLM algorithm to allow errors in variables adjustments as well as incorporating instrumental variables into the GLM model. Dr. Hardin is on the editorial board of the Stata Journal. |
Robert W. Hayden, Teacher of statistics since 1982, and recognized as an authority on the teaching of introductory statistics. Dr. Hayden has published articles on this subject in The American Statistician, the MAA Notes series, and elsewhere. He has received a national award from high school statistics teachers for his online guidance to teachers of Advanced Placement Statistics, something he has been doing since 1996. Dr. Hayden has also had careers in mechanical engineering and mathematics education, with publications that have included high school mathematics textbooks, articles on the thermopysical properties of aerospace alloys, articles on training high school mathematics teachers to teach statistics, and more. He holds a B.S. from M.I.T. and received his Ph.D. in mathematics and education from Iowa State University, where he also obtained his training in statistics. |
Joseph Hilbe, Joseph M Hilbe is an Emeritus Professor at the University of Hawaii, and since 1992 has served as Adjunct Professor of Statistics at Arizona State University. In January 2007 he was also selected as a Solar System Ambassador by NASA's Jet Propulsion Laboratory at California Institute of Technology, a position he continues to hold. Among other journal editorships, he has been Software Reviews Editor for The American Statistician since 1997. Professor Hilbe is an elected Fellow of both the American Statistical Association and Royal Statistical Society, and is an elected member (Fellow) of the International Statistical Institute. An author of numerous published statistical procedures, book chapters, and journal articles, Dr. Hilbe authored Negative Binomial Regression (2007, Cambridge University Press) and, with James Hardin, is author of Generalized Estimating Equations (2003, Chapman & Hall/CRC) and Generalized Linear Models and Extensions (2001, 2007, Stata Press).
|  Abhaya Indrayan, is the author of Medical Biostatistics (2nd ed., CRC Press), as well as a book on medical research methods. Dr. Indrayan is Professor and Chair of the Department of Biostatistics and Medical
Informatics at the College of Medical Sciences, University of Delhi, and
frequently provides biostatistical consultation to the World Health
Organization, the World Bank and UNAIDS. |
Nitin Indurkhya, co-author of Text Mining, and professor at the School of Computer Science and Engineering, University of New South Wales, Sydney, Australia. He is also the founder and president of Data-Miner Pty Ltd, an Australian company engaged in data-mining consulting and education. He has published extensively on data-mining and has considerable experience with industrial data-mining applications in many countries such as Australia, Japan and the United States. |
David Kleinbaum, Professor of Epidemiology at Emory University. Dr. Kleinbaum is the author of ActiveEpi (a CD text package), Logistic Regression, Survival Analysis: A Self Learning Text, Epidemiologic Research: Principals and Quantitative Methods, and Applied Regression Analysis and Other Multivariable Methods. He has received teaching awards from Emory and the University of North Carolina, and is considered an outstanding teacher of biostatistical and epidemiological concepts and methods at all levels. He has taught approximately 150 short courses on statistical and epidemiologic methods to a variety of national and international audiences. |
 John "Mike" Linacre, Research Director of Winsteps.com and formerly Director of the MESA Psychometric Laboratory at the University of Chicago. Dr. Linacre has taught the principles and practice of Rasch measurement for over twenty years, for much of that time in close collaboration with Benjamin D. Wright, for many years the leading proponent of Rasch methodology. Dr. Linacre is the developer of two leading Rasch software titles, Winsteps and Facets, and author of Many-Facet Rasch Measurement (MESA Press, 1994). He has been Editor of Rasch Measurement Transactions since 1989 and is an Adjunct Professor at the University of Sydney, Australia. His research interests include the measurement of health outcomes and authentic educational testing. |
Bryan Manly, Visiting Professor at the University of Sao Paulo in Piracicaba, Brazil and consultant with Western EcoSystem Technology, Inc. in Cheyenne, Wyoming, and is a former Chair of Statistics and Director of the Center for Applications of Statistics and Mathematics at the University of Otago, New Zealand. Manly is the author of Statistics for Environmental Science and Management, Randomization, Bootstrap and Monte Carlo Methods in Biology, The Statistics of Natural Selection on Animal Populations, Multivariate Statistical Methods, Resource Selection by Animals, a number of other books, and over 150 articles in refereed journals. |
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Dr. Brian Marx, Professor of Statistics at Louisiana State University. Dr. Marx
has taught Categorical Data Analysis for over ten years. He is
currently serving as Chair of the Statistical Modelling Society and is
the Coordinating Editor of Statistical Modelling: An International
Journal. Dr. Marx has numerous publications
( www.stat.lsu.edu/faculty/marx ).
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Paul Murrell, Dr. Paul Murrell is a Senior Lecturer in the Department of Statistics at
the University of Auckland, New Zealand. Paul has been a member of the
core development team for R since 1999, with a focus on the graphics
system in R. He has recently served as Editor-in-Chief of R News, the
newsletter of the R project, and is an Associate Editor for
Computational Statistics and The Journal of Statistical Software.
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 Sharayu Paranjpe teaches statistics at the University of Pune, India. She is co-author (with Anil Gore) of "A Course in Statistical Ecology" and "Statistical Inference in Saturating Hyperbolic Models," and has also written or co-written dozens of articles in peer-previewed journals. |
 Sudha Purohit, Visiting Lecturer in Statistics at the University of Pune and, before her retirement in 2000, was Head of the Department of Statistics at A. G. College, Pune, India. She has co-authored two books, Life-Time Data: Statistical Models and Methods and Introduction to Biometry and her book on Statistical Methods in Microarray Data Analysis (With Dr. Shailaja Deshmukh) is under preparation. Her areas of interest are survival analysis, reliability, programming with R and analysis of microarray data. She has published a number of research papers in various peer-reviewed journals. |
Dennis M. Roberts, has spent over 35 years teaching in the areas of statistics and measurement/assessment, including courses in basic and intermediate statistics, educational assessment and psychological testing. His professional career was spent (3 years) at The Ontario Institute for Studies in Education, (3 years) in Psychology at East Carolina University, and since 1973 (until retirement as Emeritus Professor) in the Educational Psychology program at Penn State University. Over the years, Dr. Roberts published dozens of empirical articles in journals, directed a Correspondence Course in Basic Statistics for 20 years and revised the study guide several times, revised his own introductory statistics book 3 times, and made numerous presentations at conferences of the American Educational Research Association and other professional societies. |
Jim Rutledge, President of Data Vision, a company that performs statistical consulting and training. Dr. Rutledge has over fifteen years of teaching and consulting experience. He specializes in teaching powerful statistical tools to non-statisticians; he has instructed over 1000 scientists, engineers, managers, and college students. Previously, he served as an Assistant Professor at the United States Air Force Academy and has extensive research and consulting experience in a variety of industries. He has successfully applied statistical process control techniques on over 100 projects valued at 150 million dollars. Dr. Rutledge earned a B.A. and M.S. in Mathematics from the University of Cincinnati and a Ph.D. in Biostatistics from the University of Colorado Health Sciences Center. Dr. Rutledge is an ASQ Certified Quality Engineer and served as President of the Colorado-Wyoming Chapter of the American Statistical Association. |
Thomas P. Ryan, author of Modern Engineering Statistics, Modern Experimental Design, Modern Regression Methods and Statistical Methods for Quality Improvement, all from Wiley, plus numerous papers in peer-reviewed journals. He is an elected Fellow of the American Statistical Association, American Society for Quality, and Royal Statistical Society, and has been listed in Marquis Who's Who. He served on the Editorial Review Board of the Journal of Quality Technology from 1990 through 2006 and was the Book Review Editor of that journal from 2003 through 2006. |
Randall E. Schumacker, Professor in Educational Research at the University of Alabama. He is the co-author of A Beginner’s Guide to Structural Equation Modeling (with Richard Lomax), Advanced Structural Equation Modeling: New Developments and Techniques (with George Marcoulides) and the co-editor (with George Marcolides) of Advanced Structural Equation Modeling: Issues and Techniques and Interaction and Nonlinear Effects in Structural Equation Modeling. Dr. Schumacker was the founder, editor (1994-1998), and is the current emeritus editor of Structural Equation Modeling: A Multidisciplinary Journal. He also founded the Structural Equation Modeling Special Interest Group at the American Educational Research Association. |
 Matthew Strickland, epidemiologist with the National
Center on Birth Defects and Developmental Disabilities at the Centers
for Disease Control. Dr. Strickland has helped teach in-person and distance
education courses on Epidemiologic Modeling, Fundamentals of
Epidemiology, Maternal/Child Health Epidemiology, and Survival Analysis. |
Cynthia Taeuber Ms. Taeuber is a private consultant to many large institutions to help them
with their demographic and data needs. She was a senior policy advisor at
the University of Baltimore's Jacob France Institute and had 30 years of
experience at the U.S. Census Bureau where she directed the analytic staff
for the American Community Survey and received the Commerce Dept.'s Gold
Medal Award for her innovative work on the American Community Survey. She
is the author of "The American Community Survey: Updated Information for
America's Communities," and more. Ms. Taeuber is a frequent public speaker, often interviewed by the national press and has been featured as a guest on radio and television programs. She has extensive experience preparing testimony for the U.S. Congress. |
| Marietta Tretter is Professor of Information and Operations Management at the Mays Business School at Texas A&M. She is the author of the best selling book How to Use the Internet, and her work has appeared in journals such as Management Science, Operations Research, Math Programming, and the Annals of Statistics. She teaches time series analysis at Texas A&M, and her research interests are in GIS, data mining, computational finance, neural networks, and software engineering. |
David Unwin: Until his retirement in 2002, David Unwin was Professor of Geography at Birkbeck College, University of London where he retains an Emeritus Chair in the subject. He is also a Visiting Professor in the Department of Geomatic Engineering at University College, also in the University of London. His work using and developing spatial statistics in research stretches back some 40 years, and he has authored over a hundred academic papers in the field, together with a series of texts, of which the most recent are his Geographic Information Analysis’ (with D O’Sullivan, 2003) and a series of edited collections at the interface between geography and computer science on Visualization in GIS (Hearnshaw and Unwin, 1994), Spatial Analytical Perspectives on GIS (Fischer, Scholten and Unwin, 1996) Virtual Reality in Geography (Fisher and Unwin, 2002) and, most recently representation issues in Re-presenting GIS (Fisher and Unwin, 2005). Having developed the world’s first wholly internet-delivered Master’s program in GIS in 1998, David Unwin has considerable experience teaching and tutoring online. |
| John Verzani, faculty memebr at the College of Staten Island of the City University of New York, and author of Using R for Introductory Statistics. His research interests and publications are in the area of superprocesses. |
 Brady West, Senior Statistician at the Center for Statistical Consultation and Research (CSCAR) at the University of Michigan. He is the lead author of Linear Mixed Models: A Practical Guide using Statistical Software. He specializes in applications of statistical software and analysis of survey data, and his primary research interests revolve around regression models for clustered and longitudinal data. |
 Paul Yoder, past director of the Observational Measurement Core of the Kennedy Center at Vanderbilt University and present instructor of Observational Methods course at Vanderbilt University. Dr. Yoder has contributed to the methodological, statistical, and substantive sequential analysis literature. He is a practicing scientist who uses sequential analysis in his past, current, and future research projects on social interactions in children with disabilities and their parents or teachers. |
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