Multiple imputation using chained equations: Issues and guidance for practice

Ian R. White; Patrick Royston; Angela Wood · Statistics in Medicine · 2010

Resource page

Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Author / responsible party

Ian R. White; Patrick Royston; Angela Wood

Publisher

Statistics in Medicine

Year

2010

Language

English

Resource access

Open the content from the main option or choose another available source.

OpenAlex OpenAlex Works

Entrar por OpenAlex

Main access

Resource page

Resource reference page. Full text availability has not been automatically confirmed.

Open resource

Summary

Descripción general del contenido del recurso.

Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how to impute categorical and quantitative variables, including skewed variables. We give guidance on how to specify the imputation model and how many imputations are needed. We describe the practical analysis of multiply imputed data, including model building and model checking. We stress the limitations of the method and discuss the possible pitfalls. We illustrate the ideas using a data set in mental health, giving Stata code fragments.

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

White, I. R, Royston, P, & Wood, A. (2010). Multiple imputation using chained equations: Issues and guidance for practice. https://doi.org/10.1002/sim.4067

MLA

White, Ian R, et al. "Multiple imputation using chained equations: Issues and guidance for practice." 2010. https://doi.org/10.1002/sim.4067.

Chicago

White, Ian R, Patrick Royston, and Angela Wood. 2010. "Multiple imputation using chained equations: Issues and guidance for practice.". https://doi.org/10.1002/sim.4067.

Harvard

White, I. R, Royston, P. and Wood, A. 2010, Multiple imputation using chained equations: Issues and guidance for practice, Statistics in Medicine, available at: https://doi.org/10.1002/sim.4067 [Accessed 7 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

RIS BibTeX

Resource details

Bibliographic information to help confirm that this is the correct material.

Title: Multiple imputation using chained equations: Issues and guidance for practice

Author / contributors: Ian R. White; Patrick Royston; Angela Wood

Publisher: Statistics in Medicine

Publication year: 2010

Language: English

Subjects

Explore related resources through these subjects.

Imputation (statistics); Categorical variable; Computer science; Missing data; Data mining; Machine learning