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Beyond the cancer slope factor: Broad application of Bayesian and probabilistic approaches for cancer dose-response assessment

Environment International(2023)10.1016/j.envint.2023.107959Source: DataRank Database

Beyond the cancer slope factor: Broad application of Bayesian and probabilistic approaches for cancer dose-response assessment is a research paper published in Environment International (2023). On theSindex it has a DataRank of 0. It has been cited 18 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access18 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 2.19)OA: goldTopics (30)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (3)

Kan Shao ORCID,Weihsueh A. Chiu ORCID,Suji Jang ORCID

Live enrichment

PubMed:37182419 PMC:PMC10918611 OpenAlex:https://openalex.org/W4376630455

NIEHS

Grant: P30 ES029067

NIEHS

Grant: P42 ES027704

NIEHS

Grant: R41 TR002567

NIEHS

Grant: R42 ES032642

U.S. Environmental Protection Agency

Grant: RD 84004601

National Institutes of Health

FWCI

2.19

Citation Percentile

0.9%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.1016/j.envint.2023.107959

publisherhttps://doi.org/10.1016/j.envint.2023.107959

publisherhttps://api.elsevier.com/content/article/PII:S0160412023002325?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0160412023002325?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37182419

Fields of Study

Carcinogens and Genotoxicity AssessmentStatistical Methods in Clinical TrialsGlobal Cancer Incidence and Screening

MeSH Terms

AnimalsBayes TheoremDose-Response Relationship, DrugHumansNeoplasmsIncidenceRisk AssessmentUncertainty

Keywords

Probabilistic logicExtrapolationPopulationBayesian probabilityStatisticsConfidence intervalRisk assessmentCancerMathematicsEconometricsComputer scienceMedicineEnvironmental healthInternal medicineUncertainty analysisCancer Risk AssessmentHuman VariabilityProbabilistic Risk AssessmentBayesian Model Averaging

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Quantitative Integration of Mode of Action Information in Dose–Response Modeling and POD Estimation for Nonmutagenic Carcinogens: A Case Study of TCDD

N/A

0.354DataRank · unranked

Environmental Health Perspectives(2023)

co-cited

10.1289/ehp12677

A mode of action-based probabilistic framework of dose-response assessment for nonmutagenic liver carcinogens: a case study of PCB-126

Toxicological Sciences(2023)

co-cited

10.1093/toxsci/kfad091