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Keyword

missing at random

Description: A missing-data mechanism in which the probability that a value is missing may depend on observed data but not on the missing value itself.
OpenAlex ID: keywords/missing-at-random
Missing data: Our view of the state of the art.
2002 · Joseph L. Schafer, John W. Graham · Psychological Methods · 11,622
Inference and missing data
1976 · DONALD B. RUBIN · Biometrika · 9,908
Applied Missing Data Analysis
2010 · Craig K. Enders · 7,034
The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models
2001 · Craig Enders, Deborah Bandalos · Structural Equation Modeling A Multidisciplinary Journal · 4,950
Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
1994 · James M. Robins, Andrea Rotnitzky, et al. · Journal of the American Statistical Association · 2,828
Review: A gentle introduction to imputation of missing values
2006 · A. Rogier T. Donders, Geert J.M.G. van der Heijden, et al. · Journal of Clinical Epidemiology · 2,577
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A multivariate technique for multiply imputing missing values using a sequence of regression models
2001 · Trivellore E. Raghunathan, James M. Lepkowski, et al. · Survey methodology · 1,981
How can I deal with missing data in my study?
2001 · Derrick A. Bennett · Australian and New Zealand Journal of Public Health · 1,648
Missing Data
2014 · Daniel A. Newman · Organizational Research Methods · 1,404
Multiple Imputation by Chained Equations (MICE): Implementation in Stata
2011 · Patrick Royston, Ian White · Journal of Statistical Software · 1,248
A survey on missing data in machine learning
2021 · Tlamelo Emmanuel, Thabiso Maupong, et al. · Journal Of Big Data · 1,059
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The proportion of missing data should not be used to guide decisions on multiple imputation
2019 · Paul Madley-Dowd, Rachael Hughes, et al. · Journal of Clinical Epidemiology · 1,056
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Multiple Imputation of Missing Values: Update of Ice
2005 · Patrick Royston · The Stata Journal Promoting communications on statistics and Stata · 1,042
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Using the outcome for imputation of missing predictor values was preferred
2006 · Karel G.M. Moons, Rogier A.R.T. Donders, et al. · Journal of Clinical Epidemiology · 994
Missing data and multiple imputation in clinical epidemiological research
2017 · Alma Pedersen, Ellen Mikkelsen, et al. · Clinical Epidemiology · 986
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The impact of nonnormality on full information maximum-likelihood estimation for structural equation models with missing data.
2001 · Craig K. Enders · Psychological Methods · 932
Semiparametric Efficiency in Multivariate Regression Models with Missing Data
1995 · James M. Robins, Andrea Rotnitzky · Journal of the American Statistical Association · 905
Inference and Missing Data
1976 · Donald B. Rubin · Biometrika · 885
Accounting for missing data in statistical analyses: multiple imputation is not always the answer
2019 · Rachael A Hughes, Jon Heron, et al. · International Journal of Epidemiology · 799
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Multiple Imputation for Missing Data
2000 · PAUL D. ALLISON · Sociological Methods & Research · 797
The Performance of the Full Information Maximum Likelihood Estimator in Multiple Regression Models With Missing Data
2001 · C.K. Enders · Educational and Psychological Measurement · 788
Bias and efficiency of multiple imputation compared with complete‐case analysis for missing covariate values
2010 · Ian R. White, John B. Carlin · Statistics in Medicine · 745
Loss to Follow-Up in Cohort Studies: How Much is Too Much?
2004 · Vicki Kristman, Michael Manno, et al. · European Journal of Epidemiology · 736
Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data
2018 · Runmin Wei, Jingye Wang, et al. · Scientific Reports · 711
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On the Joys of Missing Data
2013 · T. D. Little, T. D. Jorgensen, et al. · Journal of Pediatric Psychology · 680
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Works count: 3,272
Citation count: 113,100
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