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Multiple imputation of missing data ...

Zhang, Guangyu ((Statistician),)

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Multiple imputation of missing data in practice : = basic theory and analysis strategies /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multiple imputation of missing data in practice :/ Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu.
其他題名:	basic theory and analysis strategies /
作者:	He, Yulei,
其他作者:	Zhang, Guangyu
出版者:	Boca Raton, FL :CRC Press, : 2022.,
面頁冊數:	xviii, 476 p. :ill. ;25 cm.
內容註:	Statistical background -- Multiple imputation analysis : basics -- Multiple imputation for univariate missing data : parametric methods -- Multiple imputation for univariate missing data : robust methods -- Multiple imputation for multivariate missing data : the joint modeling approach -- Multiple imputation for multivariate missing data : the fully conditional specification approach -- Multiple imputation in survival data analysis -- Multiple imputation for longitudinal data -- Multiple imputation analysis for complex survey data -- Multiple imputation for data subject to measurement error -- Multiple imputation diagnostics -- Multiple imputation analysis for nonignorable missing data -- Some advanced topics.
標題:	Missing observations (Statistics) -
ISBN:	9781498722063

Multiple imputation of missing data in practice : = basic theory and analysis strategies /
He, Yulei,

Multiple imputation of missing data in practice :basic theory and analysis strategies /Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu. - 1st ed. - Boca Raton, FL :CRC Press,2022. - xviii, 476 p. :ill. ;25 cm.

Includes bibliographical references and index.

Statistical background -- Multiple imputation analysis : basics -- Multiple imputation for univariate missing data : parametric methods -- Multiple imputation for univariate missing data : robust methods -- Multiple imputation for multivariate missing data : the joint modeling approach -- Multiple imputation for multivariate missing data : the fully conditional specification approach -- Multiple imputation in survival data analysis -- Multiple imputation for longitudinal data -- Multiple imputation analysis for complex survey data -- Multiple imputation for data subject to measurement error -- Multiple imputation diagnostics -- Multiple imputation analysis for nonignorable missing data -- Some advanced topics.

ISBN: 9781498722063GBP82.99

LCCN: 2021026332Subjects--Topical Terms:

566005
Missing observations (Statistics)

LC Class. No.: QA278 / .H428 2022

Dewey Class. No.: 519.5/3

Multiple imputation of missing data in practice : = basic theory and analysis strategies /
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