Missing data: Our view of the state of the art.
Joseph L. Schafer,John W. Graham +1 more
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TLDR
2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI) are presented and may eventually extend the ML and MI methods that currently represent the state of the art.Abstract:
Statistical procedures for missing data have vastly improved, yet misconception and unsound practice still abound. The authors frame the missing-data problem, review methods, offer advice, and raise issues that remain unresolved. They clear up common misunderstandings regarding the missing at random (MAR) concept. They summarize the evidence against older procedures and, with few exceptions, discourage their use. They present, in both technical and practical language, 2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI). Newer developments are discussed, including some for dealing with missing data that are not MAR. Although not yet in the mainstream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art.read more
Citations
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Compared with What? The Effects of Different Comparisons on Conceptual Knowledge and Procedural Flexibility for Equation Solving.
TL;DR: In this article, the authors found that students' conceptual knowledge and procedural flexibility were best supported by comparing solution methods and to a lesser extent by comparing problem types, and the benefits of comparison are augmented when examples differ on relevant features.
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Infant Joint Attention, Temperament, and Social Competence in Preschool Children.
Amy Vaughan Van Hecke,Peter Clive Mundy,C. Françoise Acra,Jessica Block,Christine E F Delgado,Meaghan V. Parladé,Jessica A. Meyer,A. Rebecca Neal,Yuly B. Pomares +8 more
TL;DR: Results suggest that, in addition to associations with language and cognition, infant joint attention reflects robust aspects of development that are related to individual differences in the emergence of social and behavioral competence in childhood.
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High body mass index is a weak predictor for difficult and failed tracheal intubation: a cohort study of 91,332 consecutive patients scheduled for direct laryngoscopy registered in the Danish Anesthesia Database.
TL;DR: High BMI is a weak but statistically significant predictor of difficult and failed intubation and may be more appropriate than weight in multivariate models of prediction of DTI.
Journal ArticleDOI
The formative role of home literacy experiences across the first three years of life in children from low-income families
Eileen T. Rodriguez,Catherine S. Tamis-LeMonda,Mark Spellmann,Barbara A. Pan,Helen Raikes,Julieta Lugo-Gil,Gayle J. Luze +6 more
TL;DR: In this paper, a longitudinal investigation focused on the language and literacy environments of 1046 children from low-income families across children's first three years of life were examined in relation to the frequency of children's participation in literacy activities, the quality of mothers' engagements with their children, and the provision of age-appropriate learning materials.
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Analyzing Longitudinal Data With Missing Values
TL;DR: A nontechnical overview of some key issues from the missing data literature is provided and several of the techniques that methodologists currently recommend are demonstrated.
References
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Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Book
Generalized Linear Models
Peter McCullagh,John A. Nelder +1 more
TL;DR: In this paper, a generalization of the analysis of variance is given for these models using log- likelihoods, illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables), and gamma (variance components).
Book
Statistical Analysis with Missing Data
TL;DR: This work states that maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse and large-Sample Inference Based on Maximum Likelihood Estimates is likely to be high.
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Bayesian Data Analysis
TL;DR: Detailed notes on Bayesian Computation Basics of Markov Chain Simulation, Regression Models, and Asymptotic Theorems are provided.
Book
Multiple imputation for nonresponse in surveys
TL;DR: In this article, a survey of drinking behavior among men of retirement age was conducted and the results showed that the majority of the participants reported that they did not receive any benefits from the Social Security Administration.
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