MCAR is not necessary for the complete cases to constitute a simple random subsample of the target sample

John C. Galati, Katherine Seaton

Type: Article

Publication Date: 2013-05-23

Citations: 5

DOI: https://doi.org/10.1177/0962280213490360

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Statistical Methods in Medical Research - View
PubMed - View

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+	Improved rounding methods for binary and ordinal variables under multivariate normal imputation	2015	Milena Jacobs

Works Cited by This (17)

Action	Title	Year	Authors
+	Can one assess whether missing data are missing at random in medical studies?	2006	Richard F. Potthoff Gail Tudor Karen S. Pieper Vic Hasselblad
+ PDF Chat	Pattern-Mixture Models for Multivariate Incomplete Data	1993	Roderick J. A. Little
+	Multiple imputation: current perspectives	2007	Michael G. Kenward James R. Carpenter
+	Multiple Imputation: Theory and Method	2003	Paul Zhang
+	Bias and efficiency of multiple imputation compared with complete‐case analysis for missing covariate values	2010	Ian R. White John B. Carlin
+	Multiple Imputation in Practice	2001	Nicholas J. Horton Stuart R. Lipsitz
+	What Is Meant by “Missing at Random”?	2013	Shaun R. Seaman John C. Galati Dan Jackson John B. Carlin
+	Inference and missing data	1976	Donald B. Rubin
+	Distinguishing “Missing at Random” and “Missing Completely at Random”	1996	Daniel F. Heitjan Srabashi Basu
+	Multiple imputation of missing blood pressure covariates in survival analysis	1999	Stef van Buuren Hendriek C. Boshuizen D.L. Knook