Evidence map›Paper›PMID 37181861›Full record

ArticleThe annals of applied statistics2022

A SPATIAL CAUSAL ANALYSIS OF WILDLAND FIRE-CONTRIBUTED PM

Alexandra Larsen, Shu Yang, Brian J Reich, Ana G Rappold

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The annals of applied statistics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Wildfires and the Changing Landscape of Air Pollution-related Health Burden in California.American journal of respiratory and critical care medicine · 2023
    Article
  2. A SPATIAL CAUSAL ANALYSIS OF WILDLAND FIRE-CONTRIBUTED PMThe annals of applied statistics · 2022
    Article
  3. A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications.International statistical review = Revue internationale de statistique · 2021
    Article
  4. Ensemble-based deep learning for estimating PMEnvironment international · 2020
    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.

Alexandra LarsenDepartment of Biostatistics and Bioinformatics, Duke University.
Shu YangDepartment of Statistics, North Carolina State University.
Brian J ReichDepartment of Statistics, North Carolina State University.
Ana G RappoldNational Health and Environmental Effects Research Laboratory-Environmental Public Health Division, US Environmental Protection Agency.

Funding

Statistical Methods for Cancer Clinical TrialsP01CA142538 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVIDIAN, MARIE, KOSOROK, MICHAEL R · 2010 to 2019
$21.3M
Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma MorbidityR01ES027892 · NIEHS · EMORY UNIVERSITY · PI CHANG, HOWARD H · 2017 to 2021
$2.7M
Supplement: Spatiotemporal models for periodontal disease monitoring and recall frequenciesR01DE024984 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI BANDYOPADHYAY, DIPANKAR, REICH, BRIAN J. · 2015 to 2017
$1.2M
Spatial Causal Inference for Wildland Fire Smoke Effects on Air Pollution and HealthR01ES031651 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI REICH, BRIAN J., YANG, SHU · 2020 to 2024
$1.2M
NCI NIH HHS P01 CA142538NIDCR NIH HHS R01 DE024984NIEHS NIH HHS R01 ES027892NIEHS NIH HHS R01 ES031651
6 · The paper itself

Abstract

Wildland fire smoke contains hazardous levels of fine particulate matter (PM

Indexed as

Bayesian analysisdownscalinginterferencespillover effect

Identifiers

PMID37181861
PMCPMC10181852

What OpenQuestion holds

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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.