Evidence map›Paper›PMID 36246415›Full record

ArticleJournal of the American Statistical Association2022

A Mechanistic Model of Annual Sulfate Concentrations in the United States.

Nathan B Wikle, Ephraim M Hanks, Lucas R F Henneman, Corwin M Zigler

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Statistical Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
1 · What the graph read from it

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 registry

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.

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 literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Nathan B WikleDepartment of Statistics and Data Sciences, University of Texas at Austin.
Ephraim M HanksDepartment of Statistics, Pennsylvania State University.
Lucas R F HennemanDepartment of Civil, Environmental, and Infrastructure Engineering, George Mason University.
Corwin M ZiglerDepartment of Statistics and Data Sciences, University of Texas at Austin.
The University of Texas at Austin · USGeorge Mason University · USPennsylvania State University · US

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Causal Inference with Interference for Evaluating Air Quality PoliciesR01ES026217 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZIGLER, CORWIN MATTHEW · 2016 to 2021
$2.2M
EPA R835872NICHD NIH HHS P2C HD042849NIEHS NIH HHS R01 ES026217
6 · The paper itself

Abstract

Understanding how individual pollution sources contribute to ambient sulfate pollution is critical for assessing past and future air quality regulations. Since attribution to specific sources is typically not encoded in spatial air pollution data, we develop a mechanistic model which we use to estimate, with uncertainty, the contribution of ambient sulfate concentrations attributable specifically to sulfur dioxide (SO

Indexed as

air pollutionOrnstein-Uhlenbeck processSDEsspace-time processesspatial statistics

Identifiers

PMID36246415
PMCPMC9563091
OpenAlexW3092200539

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.