ArticlePsychometrika2017
Simulation-Extrapolation with Latent Heteroskedastic Error Variance.
Article in Psychometrika, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Split and combine simulation extrapolation algorithm to correct geocoding coarsening of built environment exposures.Statistics in medicine · 2022Article
- Evaluating marginal genetic correlation of associated loci for complex diseases and traits between European and East Asian populations.Human genetics · 2021Article
- Compensation and Amplification of Attenuation Bias in Causal Effect Estimates.Psychometrika · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article considers the application of the simulation-extrapolation (SIMEX) method for measurement error correction when the error variance is a function of the latent variable being measured. Heteroskedasticity of this form arises in educational and psychological applications with ability estimates from item response theory models. We conclude that there is no simple solution for applying SIMEX that generally will yield consistent estimators in this setting. However, we demonstrate that several approximate SIMEX methods can provide useful estimators, leading to recommendations for analysts dealing with this form of error in settings where SIMEX may be the most practical option.
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Registered trials
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