Overdispersion Models in SAS provides a friendly methodology-based introduction to the ubiquitous phemen 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 MS-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 bimial, Poisson and multimial models; generalized overdispersion linear models (GLOM); goodness-of-fit for overdispersion bimial 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).
Product Identifiers
Publisher
SAS Publishing
ISBN-10
1607648814
ISBN-13
9781607648819
eBay Product ID (ePID)
113926130
Product Key Features
Author
ph.D. Jorge G. Morel, Nagaraj K. Neerchal
Format
Trade Paperback (US), Paperback
Language
English
Subject
Software Packages
Type
Textbook
Additional Product Features
Content Note
1, Black & White Illustrations
Date of Publication
30/12/2011
Country of Publication
United States
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