1 Why Missing Data Matter
نویسنده
چکیده
This section begins with a chapter illustrating how missing data can cloud inferences to be drawn from clinical trials – in other words, why missing data matter. Chapter 2 focuses on the mechanisms that give rise to missing data. Understanding these mechanisms is the essential background needed to understand the possible consequences of missing data. Chapter 3 discusses estimands – what is to be estimated from the trial. Together, these chapters form the basis for discussion on how to limit missing data and how to handle missing data that remains. Cambridge University Press 978-1-107-03138-8 Preventing and Treating Missing Data in Longitudinal Clinical Trials: A Practical Guide Craig H. Mallinckrodt Excerpt More information
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