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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Multilevel multiple imputation: A review and evaluation of joint modeling and chained equations imputation.
TL;DR: This paper describes multilevel imputation strategies and evaluates their performance in a variety of common analysis models, and derives 4 major conclusions: joint modeling and chained equations imputation are appropriate for random intercept analyses, the joint model is superior for analyses that posit different within- and between-cluster associations, and a latent variable formulation for categorical variables is quite effective.
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Subjective sleepiness and accident risk avoiding the ecological fallacy.
TL;DR: The results showed that sleepiness was strongly related to accident risk and there were large individual differences in event propensity that complicates the prediction of absolute accident risk for individual subjects.
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Mexican-Origin Adolescent Mothers' Stressors and Psychosocial Functioning: Examining Ethnic Identity Affirmation and Familism as Moderators.
TL;DR: Mexican-origin adolescent mothers are at increased risk for poor psychosocial functioning as a result of various stressors with which they must contend; however, existing theory suggests that cultural strengths may help mitigate the negative effects of stress.
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Perceived parental monitoring, adolescent disclosure, and adolescent depressive symptoms: a longitudinal examination.
Chloe A. Hamza,Teena Willoughby +1 more
TL;DR: Higher parental knowledge was associated with lower adolescent depressive symptoms over time and bidirectional associations among parental knowledge, adolescent disclosure, and parental monitoring (i.e., solicitation and control) were examined, suggesting that interventions can be broadly based.
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Assessing task values in five subjects during secondary school: Measurement structure and mean level differences across grade level, gender, and academic subject.
TL;DR: For instance, this paper evaluated an instrument for assessing multiple value dimensions across grade level and academic subjects and tested for differences between grade levels in these subjects, finding that students in higher grades showed lower means on positive value facets and higher means on cost facets.
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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