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Sampling weighting strategies in causal mediation analysis [PDF]

BMC Medical Research Methodology
Background Causal mediation analysis plays a crucial role in examining causal effects and causal mechanisms. Yet, limited work has taken into consideration the use of sampling weights in causal mediation analysis.
Donna L. Coffman, Haoyu Zhou, Katherine E. Castellano, Megan S. Schuler, Daniel F. McCaffrey   +4 more
doaj   +5 more sources

Tutorial on Causal Mediation Analysis for Pharmacometricians [PDF]

CPT: Pharmacometrics & Systems Pharmacology
Mediation analyses can support biomarker development by quantifying the part of the total treatment effect on clinical outcome that is mediated by the biomarker.
Sebastiaan Camiel Goulooze, Eleonora Marostica, Nelleke Snelder   +2 more
doaj   +5 more sources

Introduction to Mediation Analysis and Examples of Its Application to Real-world Data [PDF]

Journal of Preventive Medicine and Public Health, 2021
Traditional epidemiological assessments, which mainly focused on evaluating the statistical association between two major components-the exposure and outcome-have recently evolved to ascertain the in-between process, which can explain the underlying ...
Sun Jae Jung
doaj   +1 more source

An Introduction to Causal Mediation Analysis With a Comparison of 2 R Packages [PDF]

Journal of Preventive Medicine and Public Health, 2023
Traditional mediation analysis, which relies on linear regression models, has faced criticism due to its limited suitability for cases involving different types of variables and complex covariates, such as interactions.
Sangmin Byeon, Woojoo Lee
doaj   +1 more source

A Practical Guide to Causal Mediation Analysis: Illustration With a Comprehensive College Transition Program and Nonprogram Peer and Faculty Interactions

Frontiers in Education, 2022
Experimental and quasi-experimental designs have been increasingly employed in education. Mediation analysis has long been used to measure the role of mediators.
W. Edward Chi, Sijia Huang, Minjeong Jeon, Elizabeth S. Park, Tatiana Melguizo, Adrianna Kezar   +5 more
doaj   +1 more source

Role of covariates in the analysis of causal mediation effects

Sichuan jingshen weisheng, 2022
The purpose of this paper was to introduce the theoretical basis of the causal mediation effect analysis and the specific method to realize an example by the causal mediation effect analysis with SAS.
Hu Chunyan, Hu Liangping
doaj   +1 more source

Key technology and multi-directional decomposition method of the causal mediation effect analysis

Sichuan jingshen weisheng, 2022
The purpose of this paper was to introduce five key techniques and the multi-directional decomposition methods of effect components in the analysis of causal mediation effects.
Hu Chunyan, Hu Liangping
doaj   +1 more source

Mediation analysis methods used in observational research: a scoping review and recommendations

BMC Medical Research Methodology, 2021
Background Mediation analysis methodology underwent many advancements throughout the years, with the most recent and important advancement being the development of causal mediation analysis based on the counterfactual framework.
Judith J. M. Rijnhart, Sophia J. Lamp, Matthew J. Valente, David P. MacKinnon, Jos W. R. Twisk, Martijn W. Heymans   +5 more
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Clarifying causal mediation analysis: Effect identification via three assumptions and five potential outcomes

Journal of Causal Inference, 2022
Causal mediation analysis is complicated with multiple effect definitions that require different sets of assumptions for identification. This article provides a systematic explanation of such assumptions.
Nguyen Trang Quynh, Schmid Ian, Ogburn Elizabeth L., Stuart Elizabeth A.   +3 more
doaj   +1 more source

BayesGmed: An R-package for Bayesian causal mediation analysis.

PLoS ONE, 2023
BackgroundThe past decade has seen an explosion of research in causal mediation analysis. However, most analytic tools developed so far rely on frequentist methods which may not be robust in the case of small sample sizes.
Belay B Yimer, Mark Lunt, Marcus Beasley, Gary J Macfarlane, John McBeth   +4 more
doaj   +1 more source