Overdispersion Models in SAS - Couverture souple

Morel PhD, Jorge G.; Neerchal PhD, Nagaraj

 
9781607648819: Overdispersion Models in SAS
Couverture souple
ISBN 10 : 1607648814 ISBN 13 : 9781607648819
Editeur : SAS Institute, 2009

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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, 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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
SAS Institute
Date d'édition
2009
Langue
anglais
ISBN 10 
1607648814
ISBN 13 
9781607648819
Reliure
Broché
Nombre de pages
406
Coordonnées du fabricant
non disponible
Personne responsable
non disponible