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

Harel, Ofer

Softcover

ISBN 10: 3838316363 ISBN 13: 9783838316369

Publisher: 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.

About this title

About the Author

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.

Edition details

• Publisher: LAP Lambert Academic Publishing
• Publication date: 2009
• Language: English
• ISBN 10: 3838316363
• ISBN 13: 9783838316369
• Binding: Paperback
• Number of pages: 120