ArticleBehavior research methods2024
Sample size and power calculations for causal mediation analysis: A Tutorial and Shiny App.
Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 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.
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Who cites it
29 citing papers in PubMed, 65 citations in OpenAlex.
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- Seeing no way out: exploring the connection between internalized caregiver stigma, entrapment, suicidal ideation, and depressive symptoms among Canadian informal caregivers.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026Article
- Defining metabolic heterogeneity in polyendocrine metabolic ovarian syndrome based on the MTHFR C677T polymorphism: the potential pathway role of homocysteine.Journal of ovarian research · 2026Article
- Water intake mediates cross-sectional associations between urinary kidney injury biomarkers and race in emerging adults.American journal of physiology. Regulatory, integrative and comparative physiology · 2026Article
- The Role of the Oral Microbiome in Circulating Metabolic Biomarkers and the Influence of Air Pollution.Oral diseases · 2026Article
- Self-compassion and burnout among medical students in Egypt: indirect effects through perceived stress.BMC psychology · 2026Article
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- Psychosocial Resources, Daily Tai Chi Practice, and Mental Health Among Chinese Undergraduates: A Mixed-Methods Study.Psychology research and behavior management · 2026Article
- The field situation heuristics effect in online emergencies: the formation mechanism and differences of audience cognitive bias.Frontiers in psychology · 2026Article
- Loneliness and sarcopenia in aged care: the mediating role of fatigability.Innovation in aging · 2026Article
- Effectiveness or efficiency: the impact of performance pressure and time pressure on employee feedback-seeking behavior.BMC psychology · 2025Article
- Inference in group sequential designs with causal mechanisms: implications for power and mediation analysis.BMC medical research methodology · 2025Article
- Epigenetic mediation may explain intergenerational associations between maternal obesogenic lifestyle and children's birth weight: findings from the NorthPop prospective birth cohort.Clinical epigenetics · 2025Article
- Perceived Weight Discrimination and General Coping Strategies.International journal of behavioral medicine · 2025Article
- Working Differently, Performing Similarly: Systems Intelligence and Job Crafting as Predictors of Job Performance in a Three-Wave Longitudinal Study.Behavioral sciences (Basel, Switzerland) · 2025Article
- Intolerance of Uncertainty Mediates the Relationship Between Autistic Traits and a Propensity for Deliberation.Journal of autism and developmental disorders · 2025Article
- BAYAS: simplifying access to Bayesian analysis for biologists.Bioinformatics (Oxford, England) · 2025Article
- Where is the Power in a Power Analysis?International journal of exercise science · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
When designing a study for causal mediation analysis, it is crucial to conduct a power analysis to determine the sample size required to detect the causal mediation effects with sufficient power. However, the development of power analysis methods for causal mediation analysis has lagged far behind. To fill the knowledge gap, I proposed a simulation-based method and an easy-to-use web application ( https://xuqin.shinyapps.io/CausalMediationPowerAnalysis/ ) for power and sample size calculations for regression-based causal mediation analysis. By repeatedly drawing samples of a specific size from a population predefined with hypothesized models and parameter values, the method calculates the power to detect a causal mediation effect based on the proportion of the replications with a significant test result. The Monte Carlo confidence interval method is used for testing so that the sampling distributions of causal effect estimates are allowed to be asymmetric, and the power analysis runs faster than if the bootstrapping method is adopted. This also guarantees that the proposed power analysis tool is compatible with the widely used R package for causal mediation analysis, mediation, which is built upon the same estimation and inference method. In addition, users can determine the sample size required for achieving sufficient power based on power values calculated from a range of sample sizes. The method is applicable to a randomized or nonrandomized treatment, a mediator, and an outcome that can be either binary or continuous. I also provided sample size suggestions under various scenarios and a detailed guideline of app implementation to facilitate study designs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.