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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 effectiveness of Corticosteroids on mortality in patients with acute respiratory distress syndrome or acute lung injury: a secondary analysis
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
Purpose in life and reduced incidence of stroke in older adults: 'The Health and Retirement Study'.
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
Multiple imputation using chained equations for missing data in TIMSS: a case study
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
Association between health-related quality of life and colorectal cancer screening.
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 note on dealing with missing standard errors in meta-analyses of continuous outcome measures in WinBUGS.
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
Spatial and temporal patterns of malaria incidence in Mozambique
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
Preventing intimate partner violence: screening is not enough.
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
Diagnostics for Multiple Imputations
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
Multiple imputation technique applied to appropriateness ratings in cataract surgery.
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
A mixed approach and a distribution-free multiple imputation technique for the estimation of a multivariate probit model with missing values.
In the present paper a mixed generalized estimating/pseudo-score equations (GEPSE) approach together with a distribution-free… Expand
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