Missing data

Abstract

Get full access to this article

View all access options for this article.

References

Sterne

JAC

, White

, Carlin

, Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 2009;338:b2393; doi 10.1136/bmj2393

Royston

. Multiple imputation of missing values. Stata J 2004;4:227–41

Little

, Rubin

. 6 Statistical Analysis with Missing Data. 2nd edn. New York: Wiley, 2002

Molenberghs

, Kenward

. Missing Data in Clinical Studies (Statistics in Practice). Chichester: Wiley, 2007

Akhtar-Danesh

, Dolovich

, Thabane

. Imputation strategies for missing binary outcomes in cluster randomized trials. CHAT investigators. BMC Med Res Methodol 2011;11:18

Marti

, Chavance

. Multiple imputation analysis of case-cohort studies. Stat Med 24 February 2011; doi: 10.1002/sim.4130 [Epub ahead of print]

Rubin

. Multiple Imputation for Nonresponse in Surveys. New York: Wiley, 1987

Ambler

, Omar

, Royston

. A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome. Stat Meth Med Res 2007;16:277–98

Mackinnon

.The use and reporting of multiple imputation in medical research – a review. J Intern Med 2010;268:586–93

10.

Vach

, Blettner

. 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. Am J Epidemiol 1991;134:895–907