Overdispersion Models in SAS - Softcover

Morel PhD, Jorge G.; Neerchal PhD, Nagaraj

Softcover

ISBN 10: 1607648814 ISBN 13: 9781607648819

Verlag: SAS Institute, 2009

Inhaltsangabe

Book by Morel PhD Jorge G Neerchal PhD Nagaraj K

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Reseña del editor

Overdispersion Models in SAS provides a friendly methodology-based introduction to the ubiquitous phenomenon of overdispersion. A basic yet rigorous introduction to the several different overdispersion models, an effective omnibus test for model adequacy, and fully functioning commented SAS codes are given for numerous examples. The examples, many of which use the GLIMMIX, GENMOD, and NLMIXED procedures, cover a variety of fields of application, including pharmaceutical, health care, and consumer products. The book is ideal as a textbook for an M.S.-level introductory course on estimation methods for overdispersion and generalized linear models as well as a first reading for students interested in pursuing this fertile area of research for further study. Topics covered include quasi-likelihood models; likelihood overdispersion binomial, Poisson, and multinomial models; generalized overdispersion linear models (GLOM); goodness-of-fit for overdispersion binomial models; Kappa statistics; marginal and conditional models; generalized estimating equations (GEE); ratio estimation; small sample bias correction of GEE; generalized linear mixed models (GLMM); and generalized linear overdispersion mixed models (GLOMM).

This book is part of the SAS Press program.

Biografía del autor

Jorge G. Morel Jorge G. Morel, Ph.D., is principal statistician for Procter and Gamble, where he specializes in SAS/STAT and SAS/IML. A SAS user since 1981, he received his Ph.D. in statistics from Iowa State University and holds two M.S. degrees in the same field. He is a member of the American Statistical Association, and he has been published widely in the Journal of Biopharmaceutical Statistics, Biometrical Journal, and Applied Statistics, among other publications. Nagaraj K. Neerchal Nagaraj K. Neerchal, Ph.D., is Professor of Statistics and Chair of the Department of Mathematics and Statistics at the University of Maryland, Baltimore County. A SAS user since 1982, he specializes in SAS/STAT and SAS/ETS. Coauthor of more than a dozen journal articles, he received his B.S. and M.S. from the Indian Statistical Institute and his Ph.D. from Iowa State University. Dr. Neerchal received the Distinguished Achievement Award and Medal from the American Statistical Association's Section on Statistics and the Environment in 2000.

Über diese Auflage

• Verlag: SAS Institute
• Erscheinungsdatum: 2009
• ISBN 10: 1607648814
• ISBN 13: 9781607648819
• Einband: Tapa blanda
• Anzahl der Seiten: 406