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1、MultivariateGeneralizedLinearMixedModelsUsingRStatisticsMultivariateGeneralizedLinearMixedModelsUsingRpresentsrobustandmethodologicallysoundmodelsforanalyzinglargeandcomplexdatasets,enablingreaderstoanswerincreasinglycomplexresearchquestions.Thebookappliestheprinciplesofmod
2、elingtolongitudinaldatafrompanelandrelatedstudiesviatheSabresoftwarepackageinR.Theauthorsfirstdiscussmembersofthefamilyofgeneralizedlinearmodels,graduallyaddingcomplexitytothemodelingframeworkbyincorporatingrandomeffects.Afterreviewingthegeneralizedlinearmodelnotation,theyi
3、llustratearangeofrandomeffectsmodels,includingthree-level,multivariate,endpoint,eventhistory,andstatedependencemodels.Theyestimatethemultivariategeneralizedlinearmixedmodels(MGLMMs)usingeitherstandardoradaptiveGaussianquadrature.Theauthorsalsocomparetwo-levelfixedandrandome
4、ffectslinearmodels.Theappendicescontainadditionalinformationonquadrature,modelestimation,andendogenousvariables,alongwithSabreRcommandsandexamples.Inmedicalandsocialscienceresearch,MGLMMshelpdisentanglestatedependencefromincidentalparameters.Focusingonthesesophisticateddata
5、analysistechniques,thisbookexplainsthestatisticaltheoryandmodelinginvolvedinlongitudinalstudies.Manyexamplesthroughoutthetextillustratetheanalysisofreal-worlddatasets.Exercises,solutions,andothermaterialareavailableonasupportingwebsite.Berridge•CrouchleyK10680K10680_Cover.i
6、ndd13/17/1110:00AMMultivariateGeneralizedLinearMixedModelsUsingRDamonM.BerridgeRobertCrouchleyCRCPressTaylor&FrancisGroup6000BrokenSoundParkwayNW,Suite300BocaRaton,FL33487-2742©2011byTaylor&FrancisGroup,LLCCRCPressisanimprintofTaylor&FrancisGroup,anInformabusinessNoclaimtoo
7、riginalU.S.GovernmentworksVersionDate:20111012InternationalStandardBookNumber-13:978-1-4398-1327-0(eBook-PDF)Thisbookcontainsinformationobtainedfromauthenticandhighlyregardedsources.Reasonableeffortshavebeenmadetopublishreliabledataandinformation,buttheauthorandpublishercan
8、notassumeresponsibilityforthevalidityofallmaterialsortheconsequencesoftheiruse.The