The Resource Analysis of Repeated Measures Data, by M. Ataharul Islam, Rafiqul I Chowdhury, (electronic resource)

Analysis of Repeated Measures Data, by M. Ataharul Islam, Rafiqul I Chowdhury, (electronic resource)

Label
Analysis of Repeated Measures Data
Title
Analysis of Repeated Measures Data
Statement of responsibility
by M. Ataharul Islam, Rafiqul I Chowdhury
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
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 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
http://library.link/vocab/creatorName
Islam, M. Ataharul
Image bit depth
0
LC call number
QA276-280
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Chowdhury, Rafiqul I.
  • SpringerLink
http://library.link/vocab/subjectName
  • Statistics
  • Statistics
  • Statistics for Business/Economics/Mathematical Finance/Insurance
  • Statistical Theory and Methods
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Label
Analysis of Repeated Measures Data, by M. Ataharul Islam, Rafiqul I Chowdhury, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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.
Dimensions
unknown
Extent
XIX, 250 p. 6 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9789811037948
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-3794-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-10-3794-8
Label
Analysis of Repeated Measures Data, by M. Ataharul Islam, Rafiqul I Chowdhury, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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.
Dimensions
unknown
Extent
XIX, 250 p. 6 illus.
File format
multiple file formats
Form of item
electronic
Isbn
9789811037948
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-981-10-3794-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-981-10-3794-8

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