Handling of Missing Data in Clinical Trials: An Overview
نویسندگان
چکیده
منابع مشابه
Strategies for handling missing data in randomised trials
Missing outcome data in randomised trials are a major potential source of bias in trial results, and their correct handling can be a major source of difficulty for investigators [1]. Missing outcome data matter for three main reasons: 1. They lead to a loss of power. This cannot be reversed, and so all efforts should be made to maximise completeness of follow-up. 2. Any analysis of incomplete d...
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The aim of this review was to establish the frequency with which trials take into account missingness, and to discover what methods trialists use for adjustment in randomised controlled trials with longitudinal measurements. Failing to address the problems that can arise from missing outcome data can result in misleading conclusions. Missing data should be addressed as a means of a sensitivity ...
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متن کاملThe prevention and treatment of missing data in clinical trials.
Missing data have seriously compromised inferences from clinical trials, yet the topic has received little attention in the clinical-trial community.1 Existing regulatory guidances2-4 on the design, conduct, and analysis of clinical trials have little specific advice on how to address the problem of missing data. A recent National Research Council (NRC) report5 on the topic seeks to address thi...
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ژورنال
عنوان ژورنال: Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics
سال: 2014
ISSN: 0388-1601,1882-8272
DOI: 10.3999/jscpt.45.125