Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology is a research paper published in Biometrics (2024). On theSindex it has a DataRank of 0.343. It has been cited 8 times, with 5 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.330
From this paper's citation signal
Citation Network Contribution
0.0137
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
NIH
Grant: R01ES026217
NIH
Grant: R01MD012769
NIH
Grant: R01ES028033
NIH
Grant: 1R01ES030616
NIH
Grant: 1R01AG066793
NIH
Grant: 1R01MD016054-01A1
Air Pollution, Heat, Cold, and Health: Disparities in the Rural South
Sloan Foundation
Grant: G-2020-13946
NIMHD NIH HHS
Grant: R01 MD016054
National Institutes of Health
Grant: 1R01AG066793-01
National Cohort Studies of Alzheimer's Disease, Related Dementias and Air Pollution
National Institutes of Health
Grant: 5R01ES028033-02
Relationship Between Multiple Environmental Exposures and CVD Incidence and Survival: Vulnerability and Susceptibility
National Institutes of Health
Grant: 5R01MD012769-04
Environmental Health Disparities in an Older Population
National Institutes of Health
Grant: 7R01ES026217-04
Casual Inference with Interference for Evaluating Air Quality Policies
National Institutes of Health
Grant: 1R01ES030616-01A1
Integrating Air Pollution Prediction Models: Uncertainty Quantification and Propagation in Health Studies
FWCI
3.45
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals