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International Journal of Epidemiology, ISSN 0300-5771, 2014, Volume 43, Issue 4, pp. 1336 - 1339
The terminology describing missingness mechanisms is confusing. In particular the meaning of 'missing at random' is often misunderstood, leading researchers... 
Multiple imputation | Missing data | Missing at random | missing at random | multiple imputation | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | missing data | Data Interpretation, Statistical | Statistics as Topic | Research Design | Humans | Index Medicus | Education Corner
Journal Article
Stata Journal, ISSN 1536-867X, 2013, Volume 13, Issue 4, pp. 795 - 809
In missing-data analysis, Little's test (1988, Journal of the American Statistical Association 83: 1198-1202) is useful for testing the assumption of missing... 
St0318 | Missing data | MCAR | Missing-value patterns | MNAR | Chi-squared | CDM | Multivariate | Power | MAR | Mcartest | multivariate | STATISTICS & PROBABILITY | missing data | mcartest | chi-squared | SOCIAL SCIENCES, MATHEMATICAL METHODS | missing-value patterns | power | st0318
Journal Article
Neural Networks, ISSN 0893-6080, 2011, Volume 24, Issue 1, pp. 121 - 129
Data mining is based on data files which usually contain errors in the form of missing values. This paper focuses on a methodological framework for the... 
Missing data | Multilayer perceptron | Imputation | Hot-deck model | Mean/mode model | Regression model | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Information Systems | Data Interpretation, Statistical | Algorithms | Computer Simulation | Humans | Neural Networks (Computer)
Journal Article
Economics Letters, ISSN 0165-1765, 12/2013, Volume 121, Issue 3, pp. 360 - 363
Missing data is a common problem in economics studies. We propose using Mallows model averaging (MMA) to deal with this problem, which has an important... 
Asymptotic optimality | Mallows model averaging | Missing data | C13 | FOCUSED INFORMATION CRITERION | REGRESSION ANALYSIS | ECONOMICS | SELECTION
Journal Article
by Li, Jun and Yu, Yao
Psychometrika, ISSN 0033-3123, 9/2015, Volume 80, Issue 3, pp. 707 - 726
Journal Article
Structural Equation Modeling: A Multidisciplinary Journal, ISSN 1070-5511, 07/2012, Volume 19, Issue 3, pp. 399 - 408
A multiple testing procedure for examining implications of the missing completely at random (MCAR) mechanism in incomplete data sets is discussed. The approach... 
missing completely at random | false discovery rate | multiple testing | incomplete data | SOCIAL SCIENCES, MATHEMATICAL METHODS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | Social Science Research | Raven Advanced Progressive Matrices | Data Analysis | Older Adults | Data | Behavioral Science Research | Intelligence Tests
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 12/1988, Volume 83, Issue 404, pp. 1198 - 1202
A common concern when faced with multivariate data with missing values is whether the missing data are missing completely at random (MCAR); that is, whether... 
Incomplete data | Multivariate normal distribution | Nonresponse | Datasets | Missing data | Maximum likelihood estimation | Theory and Methods | Ratio test | Standard error | Sampling distributions | Statistics | Covariance matrices | T tests | Data sampling | STATISTICS & PROBABILITY | Missing observations (Statistics) | Stochastic analysis | Multivariate analysis | Methods
Journal Article
Statistical Science, ISSN 0883-4237, 5/2013, Volume 28, Issue 2, pp. 257 - 268
Journal Article
Open Journal of Statistics, ISSN 2161-718X, 2014, Volume 4, Issue 1, pp. 27 - 37
In analyzing data from clinical trials and longitudinal studies, the issue of missing values is always a fundamental challenge since the missing data could... 
Handles | Missing data | Simulation | Statistics | Bias
Journal Article
The American Statistician, ISSN 0003-1305, 08/1996, Volume 50, Issue 3, pp. 207 - 213
Missing at random (MAR) and missing completely at random (MCAR) are ignorability conditions-when they hold, they guarantee that certain kinds of inferences may... 
Missing data | Coarse data | Ignorability | Incomplete data | Frequentist inference | Bayesian inference | Likelihood inference
Journal Article
The Journal of frailty & aging, ISSN 2260-1341, 2013, Volume 2, Issue 4, p. 198
Item allocation (the assignment of plausible values to missing or illogical responses in survey studies) is at times necessary in the production of complete... 
Journal Article
AMERICAN STATISTICIAN, ISSN 0003-1305, 08/1996, Volume 50, Issue 3, pp. 207 - 213
Missing at random (MAR) and missing completely at random (MCAR) are ignorability conditions-when they hold, they guarantee that certain kinds of inferences may... 
ignorability | likelihood inference | STATISTICS & PROBABILITY | frequentist inference | Bayesian inference | coarse data | incomplete data | missing data
Journal Article
Statistical Science, ISSN 0883-4237, 05/2013, Volume 28, Issue 2, pp. 257 - 268
The concept of missing at random is central in the literature on statistical analysis with missing data. In general, inference using incomplete data should be... 
Ignorability | repeated sampling | frequentist inference | missing completely at random |