(Q34178978)

31 July 2017

title

Multiple imputation by chained equations: what is it and how does it work? (English)

1 reference

31 July 2017

1 reference

Melissa J Azur

1

1 reference

31 July 2017

Elizabeth A Stuart

series ordinal

2

1 reference

31 July 2017

Constantine Frangakis

series ordinal

3

1 reference

31 July 2017

Philip J Leaf

series ordinal

4

1 reference

31 July 2017

publication date

1 March 2011

1 reference

International Journal of Methods in Psychiatric Research

31 July 2017

published in

1 reference

31 July 2017

volume

20

1 reference

31 July 2017

issue

1

1 reference

31 July 2017

page(s)

40-49

1 reference

Multiple imputation for missing data: fully conditional specification versus multivariate normal imputation.

31 July 2017

cites work

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Missing values in longitudinal dietary data: a multiple imputation approach based on a fully conditional specification

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Multiple imputation in a large-scale complex survey: a practical guide

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Multiple imputation with large data sets: a case study of the Children's Mental Health Initiative

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Missing data analysis: making it work in the real world

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Multiple imputation inference for multivariate multilevel continuous data with ignorable non-response

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

An imputation strategy for incomplete longitudinal ordinal data

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Incomplete hierarchical data

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Evaluation of software for multiple imputation of semi-continuous data

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Multiple imputation of discrete and continuous data by fully conditional specification

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Multiple imputation: review of theory, implementation and software

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Analysis of incomplete longitudinal binary data using multiple imputation

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Missing data: our view of the state of the art

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

A comparison of inclusive and restrictive strategies in modern missing data procedures

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Multiple imputation: a primer

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

A critical look at methods for handling missing covariates in epidemiologic regression analyses

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

Using the outcome for imputation of missing predictor values was preferred.

5 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3074241

28 October 2018

Identifiers

DOI

10.1002/MPR.329

1 reference

31 July 2017

1 reference

31 July 2017

1 reference