Literature review of missing data
From: Aldo S.
Category: bhagat singh
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Metrics details. Retaining participants in cohort studies with multiple follow-up waves is difficult. Commonly, researchers are faced with the problem of missing data, which may introduce biased results as well as a loss of statistical power and precision. Lancet, , ; Vandenbroucke et al. PLoS Med, 4:e, and the guidelines proposed by Sterne et al.
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Missing value imputation: a review and analysis of the literature (2006–2017)
Missing Data in Systematic Reviews: A table might help | Colloquium Abstracts
Food losses and food waste FLW have become a global concern in recent years and emerge as a priority in the global and national political agenda e. A good understanding of the availability and quality of global FLW data is a prerequisite for tracking progress on reduction targets, analyzing environmental impacts, and exploring mitigation strategies for FLW. There has been a growing body of literature on FLW quantification in the past years; however, significant challenges remain, such as data inconsistency and a narrow temporal, geographical, and food supply chain coverage. In this paper, we examined publications which reported FLW data for 84 countries and 52 individual years from to We found that most existing publications are conducted for a few industrialized countries e.
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Missing Data in Systematic Reviews: A table might help
There is a large literature of statistical methods for dealing with missing data. Here we briefly review some key concepts and make some general recommendations for Cochrane review authors. It is important to think why data may be missing. For instance, if some quality-of-life questionnaires were lost in the postal system, this would be unlikely to be related to the quality of life of the trial participants who completed the forms.
Paula Neves' helpful document on the literature review process:. What is a Literature Review? The Functions of a Literature Review :. A literature review identifies, summarizes and synthesizes the previously published work on your subject of interest.
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