Preventing and Treating Missing Data in Longitudinal Clinical Trials: A Practical Guide

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Cambridge University Press, Jan 28, 2013 - Mathematics - 165 pages
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Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have allowed implementation of a wide array of analyses. In fact, so many methods are available that it can be difficult to ascertain when to use which method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with missing data, the author offers advice on choosing analysis methods and on ways to prevent missing data through appropriate trial design and conduct. He offers a practical guide to key principles and explains analytic methods for the non-statistician using limited statistical notation and jargon. The book's goal is to present a comprehensive strategy for preventing and treating missing data, and to make available the programs used to conduct the analyses of the example dataset.
 

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Contents

Missing Data Mechanisms
9
Trial Design Considerations
23
Trial Conduct Considerations
33
Models and Modeling Considerations
49
ANALYSES AND THE ANALYTIC ROAD
71
MNAR Analyses
91
Choosing Primary Estimands and Analyses
103
The Analytic Road Map
111
Analyzing Incomplete Categorical Data
121
Example
129
Putting Principles into Practice
147
Bibliography
153
Index
161
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About the author (2013)

Craig H. Mallinckrodt is Research Fellow in the Decision Sciences and Strategy Group at Eli Lilly and Company. Dr Mallinckrodt has supported drug development in all four clinical phases and in several therapeutic areas. He currently leads Lilly's Advanced Analytics hub for missing data and their Placebo Response Task Force, and is a member of a number of other scientific work groups. He has authored more than 170 papers, book chapters and texts, including extensive works on missing data and longitudinal data analysis in journals such as Statistics in Medicine, Pharmaceutical Statistics, the Journal of Biopharmaceutical Statistics, the Journal of Psychiatric Research, the Archives of General Psychiatry, and Nature. He currently chairs the Drug Information Association's Scientific Working Group on Missing Data.

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