Flexible Imputation Of Missing Data, Second Edition - Van Buuren Stef | Libro Chapman And Hall/Crc 07/2018 - HOEPLI.it


home libri books ebook dvd e film top ten sconti 0 Carrello


Torna Indietro

van buuren stef - flexible imputation of missing data, second edition

Flexible Imputation of Missing Data, Second Edition




Disponibilità: Normalmente disponibile in 10 giorni


PREZZO
90,98 €
NICEPRICE
86,43 €
SCONTO
5%



Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.


Pagabile anche con App18 Bonus Cultura e Carta Docenti


Facebook Twitter Aggiungi commento


Spese Gratis

Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 07/2018
Edizione: Edizione nuova, 2° edizione





Note Editore

Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods, and the results are pooled to obtain unbiased estimates with correct confidence intervals. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem. This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field. This class-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by verbal statements that explain the formula in accessible terms. The book sharpens the reader’s intuition on how to think about missing data, and provides all the tools needed to execute a well-grounded quantitative analysis in the presence of missing data.




Sommario

Introduction Multiple imputation Univariate missing data Multivariate missing data Analysis of imputed data Imputation in practice Multilevel multiple imputation Individual Causal Effects Measurement issues Selection issues Longitudinal data Conclusion




Autore

Stef van Buuren is a statistical consultant at the Netherlands Organisation for Applied Scientific Research TNO in Leiden with a broad knowledge of quantitative issues in public health. Since 2015, Van Buuren holds is the world's first Professor of Missing Data at the department of Methodology & Statistics, FSS, University of Utrecht. He is the originator of various new statistical tools.







Altre Informazioni

ISBN:

9781138588318

Condizione: Nuovo
Collana: Chapman & Hall/CRC Interdisciplinary Statistics
Dimensioni: 9.25 x 6.125 in Ø 2.30 lb
Formato: Copertina rigida
Illustration Notes:76 color images, 35 tables and 76 color line drawings
Pagine Arabe: 416
Pagine Romane: xxviii






Utilizziamo i cookie di profilazione, anche di terze parti, per migliorare la navigazione, per fornire servizi e proporti pubblicità in linea con le tue preferenze. Se vuoi saperne di più o negare il consenso a tutti o ad alcuni cookie clicca qui. Chiudendo questo banner o proseguendo nella navigazione acconsenti all’uso dei cookie.

X