ArticleEvaluation & the health professions2021
Comparing Alternative Corrections for Bias in the Bias-Corrected Bootstrap Test of Mediation.
Article in Evaluation & the health professions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 33 citations in OpenAlex.
- Linking Physical Activity Motivation Regulation to Health Behavior Participation Among Korean Adults: The Mediating Role of Self-Regulation Strategies.Healthcare (Basel, Switzerland) · 2026Article
- Differences in work satisfaction among remote, hybrid, and on-site workers: the role of core self-evaluations and fulfilment of basic psychological needs.International journal of occupational medicine and environmental health · 2026Article
- Cumulant-Based Approaches for Testing the Assumption of Independent Errors in Non-Gaussian Parallel and Congeneric Measures.Educational and psychological measurement · 2026Article
- Indirect estimates of cellular hydration and relative water content and their associations with muscle strength and physical function in older adults: a path analysis from the Pro-Eva study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026Article
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- Application of isotonic regression in estimating EDIndian journal of anaesthesia · 2023Article
- Correcting the Bias Correction for the Bootstrap Confidence Interval in Mediation Analysis.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Although the bias-corrected (BC) bootstrap is an often-recommended method for testing mediation due to its higher statistical power relative to other tests, it has also been found to have elevated Type I error rates with small sample sizes. Under limitations for participant recruitment, obtaining a larger sample size is not always feasible. Thus, this study examines whether using alternative corrections for bias in the BC bootstrap test of mediation for small sample sizes can achieve equal levels of statistical power without the associated increase in Type I error. A simulation study was conducted to compare Efron and Tibshirani's original correction for bias,
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Registered trials
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