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Multiple imputation and its application /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multiple imputation and its application /James R. Carpenter, Jonathan Bartlett, Tim Morris, Angela Wood, Matteo Quartagno, Michael G. Kenward.
作者:	Carpenter, James R.,
其他作者:	Bartlett, Johnathon,
面頁冊數:	1 online resource (xx, 440 pages) :illustrations (some color).
附註:	Preceded by Multiple imputation and its application / James R. Carpenter and Michael G. Kenward. 2013.
標題:	Multiple imputation (Statistics)
電子資源:	https://www.vlebooks.com/vleweb/product/openreader?id=none&isbn=9781119756101
電子資源:	http://dx.doi.org/10.1002/9781119756118
ISBN:	9781119756118$qelectronic book

Multiple imputation and its application /
Carpenter, James R.,

Multiple imputation and its application /James R. Carpenter, Jonathan Bartlett, Tim Morris, Angela Wood, Matteo Quartagno, Michael G. Kenward. - Second edition. - 1 online resource (xx, 440 pages) :illustrations (some color). - Statistics in practice. - Statistics in practice..

Preceded by Multiple imputation and its application / James R. Carpenter and Michael G. Kenward. 2013.

Includes bibliographical references and indexes.

"Multiple imputation remains the most widely used methodology for missing data. Since the publication of the first edition, both MI methodology and the range of applications has continued to expand and develop. Methodological advances include extended MI methodologies for multilevel data and causal models, alongside important practical developments in sensitivity analysis. Key practical applications are clinical trials, prognostic modelling and causal modelling. Following on from the first edition, the authors here present the concepts in an intuitive way, setting out the issues raised by missing data, describing the rationale for MI, and show how it can be applied in increasingly complex settings with a range of examples. Also available for the first time are theoretical and computer-based exercises using Stata and R to help the instructor. Multiple Imputation and its Application, Second Edition is aimed at quantitative medical and social researchers by presenting the concepts in an intuitive way, illustrating with a range of examples. Alongside this, inclusion of key mathematical details, and theoretical and computer-based exercises will make the text suitable for graduate teaching and short courses"--

ISBN: 9781119756118$qelectronic book

LCCN: 2022057675Subjects--Topical Terms:

487081
Multiple imputation (Statistics)

LC Class. No.: R853.S7 / C37 2023

Dewey Class. No.: 610.72/4

National Library of Medicine Call No.: WA 950

Multiple imputation and its application /
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504 $a Includes bibliographical references and indexes.
520 $a "Multiple imputation remains the most widely used methodology for missing data. Since the publication of the first edition, both MI methodology and the range of applications has continued to expand and develop. Methodological advances include extended MI methodologies for multilevel data and causal models, alongside important practical developments in sensitivity analysis. Key practical applications are clinical trials, prognostic modelling and causal modelling. Following on from the first edition, the authors here present the concepts in an intuitive way, setting out the issues raised by missing data, describing the rationale for MI, and show how it can be applied in increasingly complex settings with a range of examples. Also available for the first time are theoretical and computer-based exercises using Stata and R to help the instructor. Multiple Imputation and its Application, Second Edition is aimed at quantitative medical and social researchers by presenting the concepts in an intuitive way, illustrating with a range of examples. Alongside this, inclusion of key mathematical details, and theoretical and computer-based exercises will make the text suitable for graduate teaching and short courses"-- $c Provided by publisher.
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