Description

Book Synopsis
This book provides a modern, hands-on guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics. It acknowledges the limitations of established techniques and provides concrete applications of newly developed methods.

Trade Review

“Overall the book is an excellent reference for biostatisticians who are interested in methodological approaches as well as for biostatisticians who prefer the applied side. Several useful examples from clinical trials and health research are carefully selected and analyzed to demonstrate the methods covered in the book. It is also a useful resource for postgraduate students researching missing-data methods and their application.” (Biometrical Journal, 1 June 2015)



Table of Contents

1 Missing Data Concepts and Motivating Examples 1

2 Overview of Methods for Dealing with Missing Data 15

3 Design Considerations in the Presence Of Missing Data 25

4 Cross-sectional Data Methods 31

5 Longitudinal Data Methods 69

6 Survival Analysis Under Ignorable Missingness 121

7 Nonignorable Missingness 147

8 Analysis of Randomized Clinical Trials With Noncompliance 185

Bibliography 215

Index 225

Applied Missing Data Analysis in the Health

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    A Hardback by Xiao-Hua Zhou, Chuan Zhou, Danping Lui

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      Book details

      Publisher John Wiley & Sons Inc
      Published 18 July 2014
      ISBN-13 9780470523810
      978-0470523810
      ISBN-10 0470523816
      Also in:
      Mathematics Probability and statistics

      Description

      Book Synopsis
      This book provides a modern, hands-on guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatistics. It acknowledges the limitations of established techniques and provides concrete applications of newly developed methods.

      Trade Review

      “Overall the book is an excellent reference for biostatisticians who are interested in methodological approaches as well as for biostatisticians who prefer the applied side. Several useful examples from clinical trials and health research are carefully selected and analyzed to demonstrate the methods covered in the book. It is also a useful resource for postgraduate students researching missing-data methods and their application.” (Biometrical Journal, 1 June 2015)



      Table of Contents

      1 Missing Data Concepts and Motivating Examples 1

      2 Overview of Methods for Dealing with Missing Data 15

      3 Design Considerations in the Presence Of Missing Data 25

      4 Cross-sectional Data Methods 31

      5 Longitudinal Data Methods 69

      6 Survival Analysis Under Ignorable Missingness 121

      7 Nonignorable Missingness 147

      8 Analysis of Randomized Clinical Trials With Noncompliance 185

      Bibliography 215

      Index 225

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