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Strategies for Data Analysis with Two Types of Missing Values: From Theory to Application - Couverture souple

Harel, Ofer

 
9783838316369: Strategies for Data Analysis with Two Types of Missing Values: From Theory to Application
Couverture souple
ISBN 10 : 3838316363 ISBN 13 : 9783838316369
Editeur : LAP Lambert Academic Publishing, 2009

Synopsis

Missing data, an issue frequently encountered in data analysis, causes difficulties with estimation, precision and inference. Methods for dealing with missing data issues have been studied extensively in the last few decades. All disciplines that require data collection have encountered missing data at one time or another. For various reasons, two types of missing values can be present in the same dataset. New questions about the probabilistic mechanisms generating the two types of missing values, and the conditions under which these mechanisms can be partially or completely ignored, are discussed in length. Two-stage multiple imputation (MI), an extension of conventional MI, is introduced together with two real-data examples which demonstrate the implementation of two-stage MI. In the first example the missing data mechanisms are completely ignored. In the second example the missing data mechanisms are partially ignored and partially modeled. The material covered in this book will be especially useful for professionals in the Statistics and Biostatistics fields, or anyone else who works with incomplete data.

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Présentation de l'éditeur

Missing data, an issue frequently encountered in data analysis, causes difficulties with estimation, precision and inference. Methods for dealing with missing data issues have been studied extensively in the last few decades. All disciplines that require data collection have encountered missing data at one time or another. For various reasons, two types of missing values can be present in the same dataset. New questions about the probabilistic mechanisms generating the two types of missing values, and the conditions under which these mechanisms can be partially or completely ignored, are discussed in length. Two-stage multiple imputation (MI), an extension of conventional MI, is introduced together with two real-data examples which demonstrate the implementation of two-stage MI. In the first example the missing data mechanisms are completely ignored. In the second example the missing data mechanisms are partially ignored and partially modeled. The material covered in this book will be especially useful for professionals in the Statistics and Biostatistics fields, or anyone else who works with incomplete data.

Biographie de l'auteur

Ofer Harel, PhD: Studied Statistics at The Pennsylvania State University. He is Assistant Professor at University of Connecticut. Dr. Harel has published in peer- reviewed journals and made numerous national and international conference presentations in the areas of incomplete data methods, diagnostic accuracy, and biostatistics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2009
Langue
anglais
ISBN 10 
3838316363
ISBN 13 
9783838316369
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
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