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Multiple Imputation Technique

The substitution of missing data with the average derived from multiple datasets of data that is not missing.
National Institutes of Health

Papers overview

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2015
2015
The development of acute respiratory distress syndrome (ARDS) is associated with dys-regulated inflammation. Since… Expand
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Highly Cited
2013
Highly Cited
2013
OBJECTIVE To determine whether purpose in life is associated with reduced stroke incidence among older adults after adjusting for… Expand
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2013
2013
In this paper, we document a study that involved applying a multiple imputation technique with chained equations to data drawn… Expand
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2013
2013
Conflicting information currently exists about the role played by health-related quality of life (HRQOL) in influencing… Expand
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2011
2011
A meta-analysis of a continuous outcome measure may involve missing standard errors. This is not a problem depending on… Expand
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2010
2010
BackgroundThe objective of this study is to analyze the spatial and temporal patterns of malaria incidence as to determine the… Expand
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2009
2009
PHYSICAL, SEXUAL, AND PSYCHOLOGICAL ABUSE OF WOMen by their intimate partners is common around the world. In response to this… Expand
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2007
2007
Multiple imputation technique is becoming a popular method for analyzing data with missing values. Several methods have been… Expand
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2004
2004
Missing data such as appropriateness ratings in clinical research are a common problem and this often yields a biased result… Expand
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1999
1999
In the present paper a mixed generalized estimating/pseudo-score equations (GEPSE) approach together with a distribution-free… Expand
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