Analysis of Repeated Measures Data. 1st ed. 2017

種類:

電子ブック

責任表示:

by M. Ataharul Islam, Rafiqul I Chowdhury

出版情報:

Singapore : Springer Nature Singapore : Imprint: Springer, 2017

著者名:

• Islam, M. Ataharul.
• Chowdhury, Rafiqul I.
• SpringerLink (Online service)

ISBN:

9789811037948 [9811037949]    

注記:

Introduction -- 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. .
This 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

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