Missing Data in Clinical Studies provides a comprehensive account of the problems arising
when data from clinical and related studies are incomplete, and presents the reader with …

This book provides practical guidance for statisticians, clinicians, and researchers involved
in clinical trials in the biopharmaceutical industry, medical and public health organisations …

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This article summarizes recommendations on the design and conduct of clinical trials of a
National Research Council study on missing data in clinical trials. Key findings of the study …

Objective: Missing data are ubiquitous in clinical trials, yet recent research suggests many
statisticians and investigators appear uncertain how to handle them. The objective is to set …

For handling missing data, newer methods such as those based on multiple imputation are
generally more accurate than older ones and entail weaker assumptions. Yet most do …

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 …

The Prevention and Treatment of Missing Data in Clinical Trials | NEJM Skip to main content
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Randomized clinical trials are the primary tool for evaluating new medical interventions.
Randomization provides for a fair comparison between treatment and control groups …

A major problem in the analysis of clinical trials is missing data caused by patients dropping
out of the study before completion. This problem can result in biased treatment comparisons …