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[null,"1.","Record Nr.",null,"UNINA9910141616403321"]
[null,null,"Autore",null,"Carpenter James R"]
[null,null,"Titolo",null,"Multiple imputation and its application [[electronic resource] /] / James R. Carpenter and Michael G. Kenward"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, West Sussex, U.K., : Wiley, 2013"]
[null,null,"ISBN",null,"1-119-94228-4"]
[{"$nulls":4},"1-119-94227-6"]
[{"$nulls":4},"1-118-44261-X"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (490 pages) : illustrations, tables"]
[null,null,"Collana",null,"Statistics in Practice"]
[{"$nulls":4},"Statistics in practice"]
[null,null,"Disciplina",null,"610.724"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Multiple imputation (Statistics)"]
[{"$nulls":4},"Medicine - Research - Statistical methods"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Machine generated contents note:  Reasons for missing data Summary -- The Multiple Imputation Procedure and Its Justification --  Multiple imputation of binary and ordinal data -- Imputation of unordered categorical data -- Non-linear relationships -- Interactions -- Survival data, skips and large datasets -- Multilevel multiple imputation -- Sensitivity analysis: MI unleashed -- Including survey weights -- Robust Multiple Imputation."]
[null,null,null,"Sommario/riassunto","\"This book is written with three main aims; to provide a thorough introduction to the general MI methods, to provide a detailed discussion of the practical use of the MI method and to present real-world examples drawn from the field of biostatistics\"--Provided by publisher."]