Model misspecification in stepped wedge trials: Random effects for time or treatment
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DOI: 10.1002/sim.9326
Abstract: Mixed models are commonly used to analyze stepped wedge trials (SWTs) to account for clustering and repeated measures on clusters. One critical issue researchers face is whether to include a random time effect or a… read more here.
Keywords: wedge trials; stepped wedge; effect; treatment ... See more keywords
Dealing with data conflicts in statistical inference of population assessment models that integrate information from multiple diverse data sets
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DOI: 10.1016/j.fishres.2016.04.022
Abstract: Abstract Contemporary fisheries stock assessments often use multiple diverse data sets to extract as much information as possible about biological and fishery processes. However, models are, by definition, simplifications of reality and, therefore, misspecified. Model… read more here.
Keywords: data sets; model misspecification; misspecification; multiple diverse ... See more keywords
Model misspecification, Bayesian versus credibility estimation, and Gibbs posteriors
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DOI: 10.1080/03461238.2019.1711154
Abstract: ABSTRACT In the context of predicting future claims, a fully Bayesian analysis – one that specifies a statistical model, prior distribution, and updates using Bayes's formula – is often viewed as the gold-standard, while Bühlmann's… read more here.
Keywords: model misspecification; credibility; misspecification; gibbs ... See more keywords
Composite Hypothesis Tests for Detection of Modeling Misspecification
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DOI: 10.1109/tsp.2021.3139505
Abstract: The performance of model-based signal processing inference methods may significantly degrade due to model errors. Thus, detection of model misspecification (MM) is essential in many applications. One of the most prominent MM detection approaches is… read more here.
Keywords: information; function; test; detection ... See more keywords
A Comparison of Metaheuristic Optimization Algorithms for Scale Short-Form Development
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DOI: 10.1177/0013164420906600
Abstract: This study compares automated methods to develop short forms of psychometric scales. Obtaining a short form that has both adequate internal structure and strong validity with respect to relationships with other variables is difficult with… read more here.
Keywords: form; short form; short forms; model ... See more keywords
Modeling Misspecification as a Parameter in Bayesian Structural Equation Models
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DOI: 10.1177/00131644231165306
Abstract: Accounting for model misspecification in Bayesian structural equation models is an active area of research. We present a uniquely Bayesian approach to misspecification that models the degree of misspecification as a parameter—a parameter akin to… read more here.
Keywords: structural equation; misspecification parameter; parameter; model ... See more keywords
Model Misspecification and Robustness of Observed-Score Test Equating Using Propensity Scores
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Educational and Behavioral Statistics"
DOI: 10.3102/10769986231161575
Abstract: This study explores the usefulness of covariates on equating test scores from nonequivalent test groups. The covariates are captured by an estimated propensity score, which is used as a proxy for latent ability to balance… read more here.
Keywords: propensity score; test groups; test; propensity ... See more keywords