Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors

Abstract Background Multiple imputation by chained equations (MICE) requires specifying a suitable conditional imputation model for each incomplete variable and then iteratively imputes the missing values. In the presence of missing not at random (MNAR) outcomes, valid statistical inference often re...

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Bibliographic Details

Published in:	BMC Medical Research Methodology
Main Authors:	Jacques-Emmanuel Galimard, Sylvie Chevret, Emmanuel Curis, Matthieu Resche-Rigon
Format:	Article
Language:	English
Published:	BMC 2018-08-01
Subjects:	Heckman’s model Missing data Missing not at random (MNAR) Multiple imputation by chained equation (MICE) Sample selection method
Online Access:	http://link.springer.com/article/10.1186/s12874-018-0547-1