ArticleEnvironmetrics2022
Continuous Model Averaging for Benchmark Dose Analysis: Averaging Over Distributional Forms.
Article in Environmetrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
8 citing papers in PubMed.
- Review on Predictive Models and Integration Strategies for Holistic Impact Assessment of Chemicals and Materials.Environmental science & technology · 2026Review
- Extracellular Vesicle (EV) Mechanisms of Toxicity for Per and Polyfluoroalkyl Substances: Comparing Transcriptomic Points of Departure Across Global Versus EV Regulatory Gene Sets.Environmental and molecular mutagenesis · 2025Article
- Bioinformatic workflows for deriving transcriptomic points of departure: current status, data gaps, and research priorities.Toxicological sciences : an official journal of the Society of Toxicology · 2025Review
- The use of canonical dose-response models for benchmark dose analysis of continuous toxicological data.Critical reviews in toxicology · 2025Review
- ToxicR: A computational platform in R for computational toxicology and dose-response analyses.Computational toxicology (Amsterdam, Netherlands) · 2023Article
- Information sharing in high-dimensional gene expression data for improved parameter estimation in concentration-response modelling.PloS one · 2023Article
- Guidance on the use of the benchmark dose approach in risk assessment.EFSA journal. European Food Safety Authority · 2022Article
- Transcriptional benchmark dose modeling of ultraviolet radiation-induced genomic activation in mouse skin.Photochemistry and photobiologyArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
When estimating a benchmark dose (BMD) from chemical toxicity experiments, model averaging is recommended by the National Institute for Occupational Safety and Health, World Health Organization and European Food Safety Authority. Though numerous studies exist for Model Average BMD estimation using dichotomous responses, fewer studies investigate it for BMD estimation using continuous response. In this setting, model averaging a BMD poses additional problems as the assumed distribution is essential to many BMD definitions, and distributional uncertainty is underestimated when one error distribution is chosen a priori. As model averaging combines full models, there is no reason one cannot include multiple error distributions. Consequently, we define a continuous model averaging approach over distributional models and show that it is superior to single distribution model averaging. To show the superiority of the approach, we apply the method to simulated and experimental response data.
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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.