Strategies for handling missing data in randomised trials
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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INTRODUCTION Cluster randomised trials (CRTs) randomise participants in groups, rather than as individuals, and are key tools used to assess interventions in health research where treatment contamination is likely or if individual randomisation is not feasible. Missing outcome data can reduce power in trials, including in CRTs, and is a potential source of bias. The current review focuses on ev...
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Missing data are a frequent problem in cost-effectiveness analysis (CEA) within a randomised controlled trial. Inappropriate methods to handle missing data can lead to misleading results and ultimately can affect the decision of whether an intervention is good value for money. This article provides practical guidance on how to handle missing data in within-trial CEAs following a principled appr...
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Missing data in clinical trials — a practical guide James R. Carpenter? and Michael G. Kenward Medical Statistics Unit, London School of Hygiene & Tropical Medicine, UK ?Corresponding author Objective: Missing data are ubiquitous in clinical trials, yet recent research suggests many statisticians and investigators appear uncertain how to handle them. The objective of this monograph is to set ou...
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Electronic health records (EHRs) present a wealth of data that are vital for improving patient-centered outcomes, although the data can present significant statistical challenges. In particular, EHR data contains substantial missing information that if left unaddressed could reduce the validity of conclusions drawn. Properly addressing the missing data issue in EHR data is complicated by the fa...
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ژورنال
عنوان ژورنال: Trials
سال: 2011
ISSN: 1745-6215
DOI: 10.1186/1745-6215-12-s1-a59