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Quantile Mediation Models

A Comparison of Methods for Assessing Mediation Across the Outcome Distribution

Bibliographic Data

ID19289646
AuthorsErnest Shen (0000-0001-6842-9418, University of Southern California, corresponding author), Chih-Ping Chou, Chih‐Ping Chou (0000-0003-2457-2276, University of Southern California), Mary Ann Pentz (0000-0001-6668-8862, University of Southern California), Kiros Berhane (0000-0003-2303-8493, University of Southern California)
Year2014
Volume49
Issue5
Pages471-485
Publication date2014-09-03
Open AccessNo
TypeARTICLE
VenueMultivariate Behavioral Research (JOURNAL)
Journal identifiersISSN: 0027-3171 • E-ISSN: 1532-7906
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00273171.2014.904221
PMID26732360
OpenAlexW2145230721
LanguageEN
Citations received1
References cited64

Recent introduction of quantile regression methods to analysis of epidemiologic data suggests that traditional mean regression approaches may not suffice for some health outcomes such as Body Mass Index (BMI). In the same vein, the traditional mean-based approach to mediation modeling may not be sufficient to capture the potentially different mediating effects of behavioral interventions across the outcome distribution. By combining methods for estimating conditional quantiles with traditional mediation modeling techniques, mediation effects can be estimated for any quantile of the outcome distribution (so-called quantile mediation effects). Estimation and inference techniques for quantile mediation effects are compared through simulation studies, and recommendations are given. The quantile mediation methods are further compared with the traditional mean-based regression approaches to mediation analysis through analysis of data from Healthy Places, a trial that is examining the effects of the community-built environment on resident obesity risk. We found the magnitudes of indirect (mediating) effects of walkability on BMI and waist circumference were substantially larger for the upper quantiles compared with the median or mean. Results suggest that restricting the examination of mediation to the mean of the outcome distribution provides an incomplete picture of proposed mediating mechanisms and in some cases may miss important mediational relationships to outcomes

Causal inference · Econometrics · Mediation · Outcome (game theory) · Quantile · Quantile regression · Statistics · Advanced Causal Inference Techniques · COVID-19 epidemiological studies · Mathematics · Psychology · Statistical Methods and Bayesian Inference

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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