The Resource Modeling Longitudinal Data, by Robert E. Weiss, (electronic resource)

Modeling Longitudinal Data, by Robert E. Weiss, (electronic resource)

Label
Modeling Longitudinal Data
Title
Modeling Longitudinal Data
Statement of responsibility
by Robert E. Weiss
Creator
Author
Author
Subject
Language
  • eng
  • eng
Summary
Longitudinal data are ubiquitous across Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education, yet many longitudinal data sets remain improperly analyzed. This book teaches the art and statistical science of modern longitudinal data analysis. The author emphasizes specifying, understanding, and interpreting longitudinal data models. He inspects the longitudinal data graphically, analyzes the time trend and covariates, models the covariance matrix, and then draws conclusions. Covariance models covered include random effects, autoregressive, autoregressive moving average, antedependence, factor analytic, and completely unstructured models among others. Longer expositions explore: an introduction to and critique of simple non-longitudinal analyses of longitudinal data, missing data concepts, diagnostics, and simultaneous modeling of two longitudinal variables. Applications and issues for random effects models cover estimation, shrinkage, clustered data, models for binary and count data and residuals and residual plots. Shorter sections include a general discussion of how computational algorithms work, handling transformed data, and basic design issues. This book requires a solid regression course as background and is particularly intended for the final year of a Biostatistics or Statistics Masters degree curriculum. The mathematical prerequisite is generally low, mainly assuming familiarity with regression analysis in matrix form. Doctoral students in Biostatistics or Statistics, applied researchers and quantitative doctoral students in disciplines such as Medicine, Public Health, Public Policy, Psychology, Political Science, Biology, Sociology and Education will find this book invaluable. The book has many figures and tables illustrating longitudinal data and numerous homework problems. The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce the material. Robert Weiss is Professor of Biostatistics in the UCLA School of Public Health with a Ph.D. in Statistics from the University of Minnesota. He is expert in longitudinal data analysis, diagnostics and graphics, and Bayesian methods, and specializes in modeling of hierarchical and complex data sets. He has published over 50 papers a majority of which involves longitudinal data. He regularly teaches classes in longitudinal data analysis, multivariate analysis, Bayesian inference, and statistical graphics
Member of
Is Subseries of
http://library.link/vocab/creatorName
Weiss, Robert E
Dewey number
519.5
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
A8tGPdI6JOY
Language note
English
LC call number
RA648.5-654
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Springer Texts in Statistics,
http://library.link/vocab/subjectName
  • Epidemiology
  • Statistics
  • Mathematical statistics
  • Epidemiology
  • Science, Humanities and Social Sciences, multidisciplinary
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Statistical Theory and Methods
  • Statistics for Social Sciences, Humanities, Law
  • Statistics for Business, Management, Economics, Finance, Insurance
Label
Modeling Longitudinal Data, by Robert E. Weiss, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. [401]-410) and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
to Longitudinal Data -- Plots -- Simple Analyses -- Critiques of Simple Analyses -- The Multivariate Normal Linear Model -- Tools and Concepts -- Specifying Covariates -- Modeling the Covariance Matrix -- Random Effects Models -- Residuals and Case Diagnostics -- Discrete Longitudinal Data -- Missing Data -- Analyzing Two Longitudinal Variables -- Further Reading
Dimensions
unknown
Edition
1st ed. 2005.
Extent
1 online resource (444 p.)
Form of item
online
Isbn
9780387283142
Media category
computer
Media type code
c
Other control number
10.1007/0-387-28314-5
Specific material designation
remote
System control number
  • (CKB)1000000000282873
  • (EBL)973186
  • (OCoLC)828795136
  • (SSID)ssj0000772034
  • (PQKBManifestationID)12352586
  • (PQKBTitleCode)TC0000772034
  • (PQKBWorkID)10815821
  • (PQKB)10297736
  • (SSID)ssj0000318996
  • (PQKBManifestationID)11265715
  • (PQKBTitleCode)TC0000318996
  • (PQKBWorkID)10336292
  • (PQKB)11050528
  • (DE-He213)978-0-387-28314-2
  • (MiAaPQ)EBC973186
  • (EXLCZ)991000000000282873
Label
Modeling Longitudinal Data, by Robert E. Weiss, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. [401]-410) and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
to Longitudinal Data -- Plots -- Simple Analyses -- Critiques of Simple Analyses -- The Multivariate Normal Linear Model -- Tools and Concepts -- Specifying Covariates -- Modeling the Covariance Matrix -- Random Effects Models -- Residuals and Case Diagnostics -- Discrete Longitudinal Data -- Missing Data -- Analyzing Two Longitudinal Variables -- Further Reading
Dimensions
unknown
Edition
1st ed. 2005.
Extent
1 online resource (444 p.)
Form of item
online
Isbn
9780387283142
Media category
computer
Media type code
c
Other control number
10.1007/0-387-28314-5
Specific material designation
remote
System control number
  • (CKB)1000000000282873
  • (EBL)973186
  • (OCoLC)828795136
  • (SSID)ssj0000772034
  • (PQKBManifestationID)12352586
  • (PQKBTitleCode)TC0000772034
  • (PQKBWorkID)10815821
  • (PQKB)10297736
  • (SSID)ssj0000318996
  • (PQKBManifestationID)11265715
  • (PQKBTitleCode)TC0000318996
  • (PQKBWorkID)10336292
  • (PQKB)11050528
  • (DE-He213)978-0-387-28314-2
  • (MiAaPQ)EBC973186
  • (EXLCZ)991000000000282873

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