ArticleJournal of the Royal Statistical Society. Series A, (Statistics in Society)2025
Authors' reply to the Discussion of 'Methods for estimating the exposure-response curve to inform the new safety standards for fine particulate matter'.
Michael Cork, Daniel Mork, Francesca Dominici
Abstract readComment
In one paragraphArticle in Journal of the Royal Statistical Society. Series A, (Statistics in Society), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.
2 · The registryThe 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
3 authors.
Michael CorkDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Daniel MorkDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Francesca DominiciDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Funding
GRADUATE TRAINING IN BIOSTATISTICST32ES007142 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$11.9MNational Cohort Studies of Alzheimer's Disease, Related Dementias and Air PollutionR01AG066793 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2020 to 2025
$4.2MEnvironmental Health Disparities in an Older PopulationR01MD012769 · NIMHD · YALE UNIVERSITY · PI BELL, MICHELLE L · 2017 to 2021
$3.9MRelationship Between Multiple Environmental Exposures and CVD Incidence and Survival: Vulnerability and SusceptibilityR01ES028033 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI DOMINICI, FRANCESCA, LADEN, FRANCINE · 2018 to 2022
$3.5MIntegrating Air Pollution Prediction Models: Uncertainty Quantification and Propagation in Health StudiesR01ES030616 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DOMINICI, FRANCESCA, KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2020 to 2024
$3.1M(R01 Transfer) Characterizing the link between multiple environmental exposures and Parkinsons disease exacerbationR01ES034373 · NIEHS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Danielle Braun, Antonella Zanobetti · 2022 to 2026
$2.9MEvidence to improve heat warning effectiveness in reducing morbidity and mortality.R01ES029950 · NIEHS · BROWN UNIVERSITY · PI WELLENIUS, GREGORY A · 2019 to 2022
$2.5MCausal Inference with Interference for Evaluating Air Quality PoliciesR01ES026217 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZIGLER, CORWIN MATTHEW · 2016 to 2021
$2.2MNIA NIH HHS R01 AG066793NIEHS NIH HHS R01 ES026217NIEHS NIH HHS R01 ES028033NIEHS NIH HHS R01 ES029950NIEHS NIH HHS R01 ES030616NIEHS NIH HHS R01 ES034373NIEHS NIH HHS T32 ES007142NIMHD NIH HHS R01 MD012769
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Identifiers
PMID41064742
PMCPMC12503113
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