ArticlePrevention science : the official journal of the Society for Prevention Research2015
Sample Size for Joint Testing of Indirect Effects.
Article in Prevention science : the official journal of the Society for Prevention Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mediation analysis with a time-to-event outcome: a review of use and reporting in healthcare research.BMC medical research methodology · 2018Pooled it
- Trial
- Article
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- Remote clinical trial to test mechanisms of 'practice quitting' treatment: Trial design and methodological report.Contemporary clinical trials · 2025Article
- A social media game to increase physical activity among older adult women: protocol of a randomized controlled trial to evaluate CHALLENGE.BMC public health · 2024Article
- Mediators of the effects of exercise and manual therapy for people with knee and hip osteoarthritis: A secondary, exploratory analysis of the MOA trial.Osteoarthritis and cartilage open · 2024Article
- Causal mechanisms of a scapular stabilization intervention for patients with subacromial pain syndrome: a secondary analysis of a randomized controlled trial.Archives of physiotherapy · 2022Article
- Couple Communication in Cancer: Protocol for a Multi-Method Examination.Frontiers in psychology · 2021Article
- Mechanisms of implementing public health interventions: a pooled causal mediation analysis of randomised trials.Implementation science : IS · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
This paper presents methods to calculate sample size for evaluating mediation by joint testing of both links in an indirect pathway from exposure to mediator to outcome. Calculations rely on simulations of the underlying data structure, with testing of the two links performed under the simplifying assumption that the two test statistics are asymptotically independent. Simulations show that the proposed methods are accurate. Continuous and binary exposures and mediators, as well as continuous, binary, count, and survival outcomes are accommodated, along with over-dispersion of count outcomes, design effects, and confounding of the exposure-mediator and mediator-outcome relationships. An illustrative example is provided, and a documented R program implementing the calculations is available online.
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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.