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Multiple imputation and its application

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multiple imputation and its applicationJames R. Carpenter ... [et al.]
其他作者:	Carpenter, James R.
出版者:	Hoboken, NJ :John Wiley & Sons,2023.
面頁冊數:	1 online resource (xx, 440 p.) :ill. (some col.)
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://onlinelibrary.wiley.com/doi/book/10.1002/9781119756118
ISBN:	9781119756118$q(electronic bk.)

Multiple imputation and its application
Multiple imputation and its application[electronic resource] /James R. Carpenter ... [et al.] - 2nd ed. - Hoboken, NJ :John Wiley & Sons,2023. - 1 online resource (xx, 440 p.) :ill. (some col.) - 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$q(electronic bk.)Subjects--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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245 0 0 $a Multiple imputation and its application $h [electronic resource] / $c James R. Carpenter ... [et al.]
250 $a 2nd ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c 2023.
300 $a 1 online resource (xx, 440 p.) : $b ill. (some col.)
490 1 $a Statistics in practice
500 $a Preceded by Multiple imputation and its application / James R. Carpenter and Michael G. Kenward. 2013.
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
588 $a Description based on print version record.
650 0 $a Multiple imputation (Statistics) $3 487081
650 0 $a Medicine $x Research $x Statistical methods. $3 182670
650 0 $a Medical statistics. $3 182007
650 1 2 $a Data Interpretation, Statistical. $3 205961
650 2 2 $a Data Analysis. $3 843864
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700 1 $a Carpenter, James R. $3 603538
830 0 $a Statistics in practice. $3 246074
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119756118