Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them

Detalles Bibliográficos
Autores principales: Sterne, Jonathan A C, White, Ian R, Carlin, John B, Spratt, Michael, Royston, Patrick, Kenward, Michael G, Wood, Angela M, Carpenter, James R
Formato: Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2009
Materias:
Research Methods & Reporting
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2714692/
https://www.ncbi.nlm.nih.gov/pubmed/19564179
http://dx.doi.org/10.1136/bmj.b2393
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author Sterne, Jonathan A C
White, Ian R
Carlin, John B
Spratt, Michael
Royston, Patrick
Kenward, Michael G
Wood, Angela M
Carpenter, James R
author_facet Sterne, Jonathan A C
White, Ian R
Carlin, John B
Spratt, Michael
Royston, Patrick
Kenward, Michael G
Wood, Angela M
Carpenter, James R
author_sort Sterne, Jonathan A C
collection PubMed
description Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them
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spelling pubmed-27146922009-12-11 Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls Sterne, Jonathan A C White, Ian R Carlin, John B Spratt, Michael Royston, Patrick Kenward, Michael G Wood, Angela M Carpenter, James R BMJ Research Methods & Reporting Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them BMJ Publishing Group Ltd. 2009-06-29 /pmc/articles/PMC2714692/ /pubmed/19564179 http://dx.doi.org/10.1136/bmj.b2393 Text en © Sterne et al 2009 http://creativecommons.org/licenses/by-nc/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Methods & Reporting
Sterne, Jonathan A C
White, Ian R
Carlin, John B
Spratt, Michael
Royston, Patrick
Kenward, Michael G
Wood, Angela M
Carpenter, James R
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
title Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
title_full Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
title_fullStr Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
title_full_unstemmed Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
title_short Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
title_sort multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
topic Research Methods & Reporting
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2714692/
https://www.ncbi.nlm.nih.gov/pubmed/19564179
http://dx.doi.org/10.1136/bmj.b2393
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