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Missing data

Known as: MCAR, Missingness, Missing at random 
In statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation. Missing data are a common… 
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Papers overview

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Highly Cited
2016
Highly Cited
2016
 
Review
2012
Review
2012
Basics Introduction The problem of missing data Concepts of MCAR, MAR and MNAR Simple solutions that do not (always) work… 
Highly Cited
2011
Highly Cited
2011
Amelia II is a complete R package for multiple imputation of missing data. The package implements a new expectation-maximization… 
Review
2010
Review
2010
Part 1. An Introduction to Missing Data. 1.1 Introduction. 1.2 Chapter Overview. 1.3 Missing Data Patterns. 1.4 A Conceptual… 
Highly Cited
2007
Highly Cited
2007
Part 1. A Gentle Introduction to Missing Data. The Concept of Missing Data. The Prevalence of Missing Data. Why Data Might Be… 
Review
2003
Review
2003
  • N. Lazar
  • Technometrics
  • 2003
  • Corpus ID: 40372606
authors brie y review various methods and refer readers to works such as Little (1995) for details. The analyses presented are… 
Highly Cited
2001
Highly Cited
2001
A Monte Carlo simulation examined the performance of 4 missing data methods in structural equation models: full information… 
Review
2001
Review
2001
This paper reviews methods for handling missing data in a research study. Many researchers use ad hoc methods such as complete… 
Highly Cited
2000
Highly Cited
2000
Two algorithms for producing multiple imputations for missing data are evaluated with simulated data. Software using a propensity… 
Highly Cited
1994
Highly Cited
1994
Abstract For missing data problems, Tanner and Wong have described a data augmentation procedure that approximates the actual…