Statistical Imputation

Known as: Imputation, Impute, Imputed 
The substitution of some value for a missing data point or a missing component of a data point.
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the… (More)
  • figure 1
Is this relevant?
Highly Cited
2011
Highly Cited
2011
The R package mice imputes incomplete multivariate data by chained equations. The software mice 1.0 appeared in the year 2000 as… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Is this relevant?
Highly Cited
2011
Highly Cited
2011
MOTIVATION Most existing methods for DNA sequence analysis rely on accurate sequences or genotypes. However, in applications of… (More)
  • table 1
  • figure 1
  • table 2
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
2011
Highly Cited
2011
Genotype imputation is a statistical technique that is often used to increase the power and resolution of genetic association… (More)
Is this relevant?
Highly Cited
2009
Highly Cited
2009
Genotype imputation methods are now being widely used in the analysis of genome-wide association studies. Most imputation… (More)
Is this relevant?
Highly Cited
2009
Highly Cited
2009
1Department of Social Medicine, University of Bristol, Bristol BS8 2PR 2MRC Biostatistics Unit, Institute of Public Health… (More)
Is this relevant?
Highly Cited
2009
Highly Cited
2009
We present methods for imputing data for ungenotyped markers and for inferring haplotype phase in large data sets of unrelated… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table 1
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Genome-wide association studies are set to become the method of choice for uncovering the genetic basis of human diseases. A… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2004
Highly Cited
2004
Following the seminal publications of Rubin about thirty years ago, statisticians have become increasingly aware of the… (More)
  • figure 1
  • figure 2
Is this relevant?
Highly Cited
1999
Highly Cited
1999
This paper studies a non-response problem in survival analysis where the occurrence of missing data in the risk factor is related… (More)
  • table I
  • figure 1
  • table II
  • table III
  • table IV
Is this relevant?