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PMID: 19564179 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

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

BMJ (Clinical research ed.) ·Vol. 338 ·2009-06-29 ·Pages b2393

Sterne JA, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, Wood AM, Carpenter JR

Abstract

暂无摘要

MeSH Terms

Bias Biomedical Research/standards,statistics & numerical data Data Collection/standards,statistics & numerical data Random Allocation Research Design

Authors & Affiliations

8 authors, click to expand affiliations / ORCID

Sterne Jonathan A C

Department of Social Medicine, University of Bristol, Bristol BS8 2PR. [email protected]

White Ian R

Carlin John B

Spratt Michael

Royston Patrick

Kenward Michael G

Wood Angela M

Carpenter James R

References (14)

14 references, click to expand

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Multiple imputation of missing blood pressure covariates in survival analysis.
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Biased estimation of the odds ratio in case-control studies due to the use of ad hoc methods of correcting for missing values for confounding variables.
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Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals.
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Imputation is beneficial for handling missing data in predictive models.
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Cost-effectiveness in clinical trials: using multiple imputation to deal with incomplete cost data.
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Use of multiple imputation in the epidemiologic literature.
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A comparison of inclusive and restrictive strategies in modern missing data procedures.
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Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study.
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Article Info

Journal

BMJ (Clinical research ed.)

Abbr.

BMJ

ISSN

1756-1833

DOI

10.1136/bmj.b2393

[email protected]

Published

2009-06-29

Epub

2009-00-29

Pages

b2393

Language

English

Region

England

NLM ID

8900488

PMCID

PMC2714692

Subset

Grants

British Heart Foundation · RG/08/014/24067 · United Kingdom

Medical Research Council · G0600599 · United Kingdom

Medical Research Council · U.1052.00.006 · United Kingdom

Medical Research Council · G0701619 · United Kingdom

Medical Research Council · MC_U105260558 · United Kingdom

External Links

PubMed source DOI: 10.1136/bmj.b2393 PMC Full Text View journal details

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

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