Modeling Binary Correlated Responses : Using SAS, SPSS, R and STATA
Modeling Binary Correlated Responses : Using SAS, SPSS, R and STATA
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Author(s): Selby, Lori P.
Wilson, Jeffrey R.
ISBN No.: 9783031624261
Pages: xxv, 282
Year: 202409
Format: Trade Cloth (Hard Cover)
Price: $ 220.79
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

Jeffrey Wilson is a Professor of Statistics and Biostatistics, and Associate Dean of Research in W. P. Carey School of Business. He is a former Statistics Associate Editor for The Journal of Minimally Invasive Gynecology and the Faculty Athletics Representative for Arizona State University. Dr. Wilson's research experience includes grants as PI and co-PI from the NIH, NSF, USDA, Arizona Department of Health Services, and the Arizona Disease Research Commission. He has published more than 90 articles in leading journals such as Statistics in Medicine, American Journal of Public Health, Journal of Royal Statistics Series C, Management Science, Journal of Business and Economic Statistics, Computational Statistics, and Australian Journal of Statistics, among others. Kent A.


Lorenz is an Associate Professor of Physical Education and Physical Activity in the Department of Kinesiology at San Francisco State University. He teaches courses in physical fitness, and elementary and secondary curriculum and instruction in the Integrated Teacher Education Program in Physical Education, and the introduction to statistics course for the Masters of Science in Kinesiology degree program. His research interests center on youth physical activity and physical fitness, with a particular emphasis on Comprehensive School Physical Activity Programs. Dr. Lorenz has published 25 peer-reviewed journal articles and has contributed to book chapters and the first edition of the Modeling Correlated Binary Data using SAS, SPSS and R. Lori P. Selby is a PhD candidate in the School of Mathematics and Statistics. She was a lecturer in Mathematics and Biostatistics at the University of Trinidad and Tobago.


She is a member of the American Statistical Association (ASA) and the Arizona Chapter of ASA. She is also a member of the American Public Health Association. She is an article reviewer for the Journal of Minimally Invasive Gynecology. Ms. Selby received her BSc. in Engineering and MSc. in Statistics from the University of the West Indies.


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