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Item Details
Title: HANDBOOK OF MISSING DATA METHODOLOGY
By: Geert Molenberghs (Editor), Garrett Fitzmaurice (Editor), Michael G. Kenward (Editor)
Format: Hardback

List price: £105.00
Our price: £94.50
Discount:
10% off
You save: £10.50
ISBN 10: 1439854610
ISBN 13: 9781439854617
Availability: Usually dispatched within 1-3 weeks.
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Publisher: TAYLOR & FRANCIS LTD
Pub. date: 10 November, 2014
Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
Pages: 600
Synopsis: Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data Methodology presents many methodological advances and the latest applications of missing data methods in empirical research. Divided into six parts, the handbook begins by establishing notation and terminology. It reviews the general taxonomy of missing data mechanisms and their implications for analysis and offers a historical perspective on early methods for handling missing data. The following three parts cover various inference paradigms when data are missing, including likelihood and Bayesian methods; semi-parametric methods, with particular emphasis on inverse probability weighting; and multiple imputation methods. The next part of the book focuses on a range of approaches that assess the sensitivity of inferences to alternative, routinely non-verifiable assumptions about the missing data process.The final part discusses special topics, such as missing data in clinical trials and sample surveys as well as approaches to model diagnostics in the missing data setting. In each part, an introduction provides useful background material and an overview to set the stage for subsequent chapters. Covering both established and emerging methodologies for missing data, this book sets the scene for future research. It provides the framework for readers to delve into research and practical applications of missing data methods.
Illustrations: 59 black & white illustrations, 84 black & white tables
Publication: US
Imprint: Chapman & Hall/CRC
Returns: Returnable
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DESIGN AND ANALYSIS OF CROSS-OVER TRIALS
DESIGN AND ANALYSIS OF CROSS-OVER TRIALS
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DESIGN AND ANALYSIS OF CROSS-OVER TRIALS, SECOND EDITION
DESIGN AND ANALYSIS OF CROSS-OVER TRIALS, THIRD EDITION
ESTIMANDS, ESTIMATORS AND SENSITIVITY ANALYSIS IN CLINICAL TRIALS
ESTIMANDS, ESTIMATORS AND SENSITIVITY ANALYSIS IN CLINICAL TRIALS (HB)
HANDBOOK OF MISSING DATA METHODOLOGY
LINEAR MIXED MODELS FOR LONGITUDINAL DATA (HB)
LINEAR MIXED MODELS FOR LONGITUDINAL DATA (PB)
LINEAR MIXED MODELS FOR LONGITUDINAL DATA (PB)
LINEAR MIXED MODELS IN PRACTICE (PB)
LONGITUDINAL DATA ANALYSIS
LONGITUDINAL DATA ANALYSIS (HB)
MISSING DATA IN CLINICAL STUDIES
MISSING DATA IN CLINICAL STUDIES
MISSING DATA IN CLINICAL STUDIES (HB)
MIXED MODELS (HB)
MODELS FOR DISCRETE LONGITUDINAL DATA (HB)
MODELS FOR DISCRETE LONGITUDINAL DATA (PB)
MULTIPLE IMPUTATION AND ITS APPLICATION (HB)
THE EVALUATION OF SURROGATE ENDPOINTS (HB)
THE EVALUATION OF SURROGATE ENDPOINTS (PB)
TOPICS IN MODELLING OF CLUSTERED DATA
TOPICS IN MODELLING OF CLUSTERED DATA (HB)

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