Missing Data: Analysis and Design

By J. Graham. 2012

624 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9e11b24954e006e4ec518dc1ecfa87f49ac29eb3

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In Artificial Intelligence

Citations in the corpus

Regression imputation in the functional linear model with missing values in the response (2019, background): “For this reason, we focus in this work on the problem of missing data (see [19, 14] for a wide introduction in the multivariate framework).”
Un sistema de clasificación de los diseños de investigación en psicología (2013, background): “4) En lo referente al análisis estadístico, se deben describir los métodos estadísticos utilizados con el detalle suficiente para ser comprendidos por otros investigadores, así como los procedimientos para el tratamiento de datos perdidos (Graham, 2012), si se han utilizado.”
Attrition in developmental psychology (2017, methodology): “In practice, the MCAR, MAR, and MNAR mechanism are not distinct entities; rather, most missing data situations involve a combination of causes based on the specific variables selected from the dataset (Graham, 2012).”
Academic Self‐Efficacy and Performance of Underrepresented STEM Majors: Gender, Ethnic, and Social Class Patterns (2013, methodology): “Next, missing data were imputed using a multiple imputation strategy recommended by Graham (2012). We used the fully conditional MCMC method to impute missing data for normally distributed dependent variables.”
Testing multidimensional models of youth civic engagement: Model comparisons, measurement invariance, and age differences (2017, methodology): “To reduce participant burden, we employed a threeform planned missing design (Graham, 2012).”
Multiple imputation as a flexible tool for missing data handling in clinical research. (2017, background): “Because a number of accessible descriptions of maximum likelihood estimation appear in the literature (Enders, 2010, 2013; Graham, 2012; Schafer & Graham, 2002), I limit the scope of this manuscript tomultiple imputation, focusing on practical issues that clinical researchers are likely to…”
Relations between Teachers' Emotional Exhaustion and Students' Educational Outcomes. (2016, methodology): “2 (Muthén, & Muthén, 2014) in conjunction with Full Information Maximum Likelihood estimation (FIML; Enders, 2010; Graham, 2012) to handle the relatively low amounts of missing data present at the item level.”
An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists (2015, background): “sport and exercise researchers with a feasible, cost-effective alternative to exploring growth over the course of an entire developmental period (see Brodbeck, Bachmann, Croudace, & Brown, 2012; Enders, 2010; Graham, 2012; Marsh, 1998; Marsh, Craven & Debus, 1999).”
Resilience and acculturation among unaccompanied refugee minors (2018, background): “Graham, J. W. (2012). Missing data: Analysis and design.”
On the joys of missing data. (2014, methodology): “methods that are still popular in pediatric research suffer from many drawbacks that introduce bias and lack of power (Enders, 2010; Graham, 2012; van Buuren, 2011).”