Coverart for item
The Resource Handbook of missing data methodology, edited by Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke

Handbook of missing data methodology, edited by Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke

Label
Handbook of missing data methodology
Title
Handbook of missing data methodology
Statement of responsibility
edited by Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke
Title variation
Missing data methodology
Contributor
Subject
Language
eng
Summary
"Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical metholody for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data Methodology presents, any methodological advances and the latest applications of missing data methods in empirical research. -- Divided into six parts, the handbook begins by establishing notation and terminology. It reviews the general taxonomy of missing data mechanisms and their implications for analysis and offers a historical perspective on early methods for handling missing data. The following three parts cover various inference paradigms when data are missing, including likelihood and Bayesian methods; semi-parametric methods, with particular emphasis on inverse probability weighting; and multiple imputation methods, -- The next part of the book focuses on a range of approaches that assess the sensitivity of inferences to alternative, routinely non-verifiable assumptions about the missing data process. The final part discusses special topics, such as missing data in clinical trials and sample surveys as wel as approaches to model diagnostics in the missing data setting. In each part, an introduction provides useful background material and an overview to set the stage for subsequent chapters. -- Covering both established and emerging methodologies for missing data, this books sets the scene for future research. It provides the framework for readers to delve into research and practical applications of missing data methods."--The back cover of the book
Member of
Dewey number
519.5
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1962-
  • 1956-
http://library.link/vocab/relatedWorkOrContributorName
  • Molenberghs, Geert,
  • Fitzmaurice, Garrett M.
  • Kenward, Michael G.
  • Tsiatis, Anastasios A.
  • Verbeke, Geert,
Series statement
Chapman & Hall/CRC handbooks of modern statistical methods
http://library.link/vocab/subjectName
  • Missing observations (Statistics)
  • Statistics
Label
Handbook of missing data methodology, edited by Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke
Instantiates
Publication
Copyright
Note
"A Chapman & Hall book."
Bibliography note
Includes bibliographical references and index
Contents
  • Bayesian methods
  • Michael J. Daniels and Joseph W. Hogan
  • Joint modeling of longitudinal and time-to-event data
  • Dimitris Rizopoulos
  • Introduction and overview
  • Garrett M. Fitzmaurice
  • Missing data methods: a semi-parametric perspective
  • Anastasios A. Tsiatis and Marie Davidian
  • Double-robust methods
  • Andrea Rotnitzky and Stijn Vansteelandt
  • Introduction and preliminaries
  • Pseudo-likelihood methods for incomplete data
  • Geert Molenberghs and Michael G. Kenward
  • Introduction
  • Michael G. Kenward
  • Multiple imputation: perspective and historical overview
  • John B. Carlin
  • Fully conditional specification
  • Stef van Buuren
  • Multilevel multiple imputation
  • Harvey Goldstein and James R. Carpenter
  • Garrett M. Fitzmaurice, Michael G. Kenward, Geert Molenberghs, Geert Verbeke, and Anastasios A. Tsiatis
  • Introduction and overview
  • Geert Molenberghs, Geert Verbeke, and Michael G. Kenward
  • A likelihood-based perspective
  • Geert Verbeke, Geert Molenberghs, and Michael G. Kenward
  • A semi-parametric perspective
  • Stijn Vansteelandt
  • Bayesian sensitivity analysis
  • Joseph W. Hogan, Michael J. Daniels, and Liangyuan Hu
  • Sensitivity analysis with multiple imputation
  • James R. Carpenter and Michael G. Kenward
  • Developments of methods and critique of ad hoc methods
  • The elicitation and use of expert opinion
  • Ian R. White
  • Introduction and overview
  • Geert Molenberghs
  • Missing data in clinical trials
  • Craig Mallinckrodt
  • Missing data in sample surveys
  • Thomas R. Belin and Juwon Song
  • Model diagnostics
  • Dimitris Rizopoulos, Geert Molenberghs, and Geert Verbeke
  • James R. Carpenter and Michael G. Kenward
  • Introduction and overview
  • Michael G. Kenward, Geert Molenberghs, and Geert Verbeke
  • Perspective and historical overview
  • Michael G. Kenward and Geert Molenberghs
Control code
ocn901243596
Dimensions
unknown
Extent
1 online resource (xxiv, 574 pages)
Form of item
online
Isbn
9781439854617
Note
Taylor & Francis
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)901243596
Label
Handbook of missing data methodology, edited by Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke
Publication
Copyright
Note
"A Chapman & Hall book."
Bibliography note
Includes bibliographical references and index
Contents
  • Bayesian methods
  • Michael J. Daniels and Joseph W. Hogan
  • Joint modeling of longitudinal and time-to-event data
  • Dimitris Rizopoulos
  • Introduction and overview
  • Garrett M. Fitzmaurice
  • Missing data methods: a semi-parametric perspective
  • Anastasios A. Tsiatis and Marie Davidian
  • Double-robust methods
  • Andrea Rotnitzky and Stijn Vansteelandt
  • Introduction and preliminaries
  • Pseudo-likelihood methods for incomplete data
  • Geert Molenberghs and Michael G. Kenward
  • Introduction
  • Michael G. Kenward
  • Multiple imputation: perspective and historical overview
  • John B. Carlin
  • Fully conditional specification
  • Stef van Buuren
  • Multilevel multiple imputation
  • Harvey Goldstein and James R. Carpenter
  • Garrett M. Fitzmaurice, Michael G. Kenward, Geert Molenberghs, Geert Verbeke, and Anastasios A. Tsiatis
  • Introduction and overview
  • Geert Molenberghs, Geert Verbeke, and Michael G. Kenward
  • A likelihood-based perspective
  • Geert Verbeke, Geert Molenberghs, and Michael G. Kenward
  • A semi-parametric perspective
  • Stijn Vansteelandt
  • Bayesian sensitivity analysis
  • Joseph W. Hogan, Michael J. Daniels, and Liangyuan Hu
  • Sensitivity analysis with multiple imputation
  • James R. Carpenter and Michael G. Kenward
  • Developments of methods and critique of ad hoc methods
  • The elicitation and use of expert opinion
  • Ian R. White
  • Introduction and overview
  • Geert Molenberghs
  • Missing data in clinical trials
  • Craig Mallinckrodt
  • Missing data in sample surveys
  • Thomas R. Belin and Juwon Song
  • Model diagnostics
  • Dimitris Rizopoulos, Geert Molenberghs, and Geert Verbeke
  • James R. Carpenter and Michael G. Kenward
  • Introduction and overview
  • Michael G. Kenward, Geert Molenberghs, and Geert Verbeke
  • Perspective and historical overview
  • Michael G. Kenward and Geert Molenberghs
Control code
ocn901243596
Dimensions
unknown
Extent
1 online resource (xxiv, 574 pages)
Form of item
online
Isbn
9781439854617
Note
Taylor & Francis
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)901243596

Library Locations

    • InternetBorrow it
      Albany, Auckland, 0632, NZ
Processing Feedback ...