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Strategies for Data Analysis with Two Types of Missing Values: From Theory to Application - Softcover
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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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Über die Autorin bzw. den Autor
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.
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Strategies for Data Analysis with Two Types of Missing Values
Verlag:
LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838316363
ISBN 13: 9783838316369
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch. Bestandsnummer des Verkäufers 9783838316369
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Strategies for Data Analysis with Two Types of Missing Values
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ISBN 13: 9783838316369
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Harel OferOfer 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 internati. Bestandsnummer des Verkäufers 5412318
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Strategies for Data Analysis with Two Types of Missing Values
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Strategies for Data Analysis with Two Types of Missing Values
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ISBN 13: 9783838316369
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Strategies for Data Analysis with Two Types of Missing Values
Verlag:
LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838316363
ISBN 13: 9783838316369
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch. Bestandsnummer des Verkäufers 9783838316369
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Strategies for Data Analysis with Two Types of Missing Values : From Theory to Application
Verlag:
LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838316363
ISBN 13: 9783838316369
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783838316369
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Strategies for Data Analysis with Two Types of Missing Values | From Theory to Application
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838316363
ISBN 13: 9783838316369
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Taschenbuch. Zustand: Neu. Strategies for Data Analysis with Two Types of Missing Values | From Theory to Application | Ofer Harel | Taschenbuch | 120 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838316369 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101468603
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Strategies for Data Analysis with Two Types of Missing Values: From Theory to Application
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ISBN 13: 9783838316369
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