LEADER 04753nam 22006135 450 001 9910254275003321 005 20250410114443.0 010 $a981-10-3794-9 024 7 $a10.1007/978-981-10-3794-8 035 $a(CKB)4340000000062068 035 $a(DE-He213)978-981-10-3794-8 035 $a(MiAaPQ)EBC5579025 035 $a(PPN)203667409 035 $a(EXLCZ)994340000000062068 100 $a20170707d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis of Repeated Measures Data /$fby M. Ataharul Islam, Rafiqul I Chowdhury 205 $a1st ed. 2017. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2017. 215 $a1 online resource (XIX, 250 p. 6 illus.) 311 08$a981-10-3793-0 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Linear Models -- Univariate Exponential Family of Distributions -- Generalized Linear Model -- Covariate Dependent Markov Models -- Model for Bivariate Binary Data -- Model for Bivariate Geometric Model -- Model for Bivariate Count Data -- Models for Bivariate Exponential and Weibull Data -- Quasi ?Likelihood Methods -- Generalized Estimating Equations -- A Generalized Multivariate Model -- Multistate and Multistage Models -- Analysing Data Using R and SAS. . 330 $aThis book presents a broad range of statistical techniques to address emerging needs in the field of repeated measures. It also provides a comprehensive overview of extensions of generalized linear models for the bivariate exponential family of distributions, which represent a new development in analysing repeated measures data. The demand for statistical models for correlated outcomes has grown rapidly recently, mainly due to presence of two types of underlying associations: associations between outcomes, and associations between explanatory variables and outcomes. The book systematically addresses key problems arising in the modelling of repeated measures data, bearing in mind those factors that play a major role in estimating the underlying relationships between covariates and outcome variables for correlated outcome data. In addition, it presents new approaches to addressing current challenges in the field of repeated measures and models based on conditional and joint probabilities. Markov models of first and higher orders are used for conditional models in addition to conditional probabilities as a function of covariates. Similarly, joint models are developed using both marginal-conditional probabilities as well as joint probabilities as a function of covariates. In addition to generalized linear models for bivariate outcomes, it highlights extended semi-parametric models for continuous failure time data and their applications in order to include models for a broader range of outcome variables that researchers encounter in various fields. The book further discusses the problem of analysing repeated measures data for failure time in the competing risk framework, which is now taking on an increasingly important role in the field of survival analysis, reliability and actuarial science. Details on how to perform the analyses are included in each chapter and supplemented with newly developed R packages and functions along with SAS codes and macro/IML. It is a valuable resource for researchers, graduate students and other users of statistical techniques for analysing repeated measures data. 606 $aStatistics 606 $aStatistics 606 $aBiometry 606 $aSocial sciences$xStatistical methods 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aStatistical Theory and Methods 606 $aBiostatistics 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 615 0$aStatistics. 615 0$aStatistics. 615 0$aBiometry. 615 0$aSocial sciences$xStatistical methods. 615 14$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aStatistical Theory and Methods. 615 24$aBiostatistics. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 676 $a519.5 700 $aIslam$b M. Ataharul$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767187 702 $aChowdhury$b Rafiqul I$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254275003321 996 $aAnalysis of Repeated Measures Data$92155977 997 $aUNINA