Evidence map›Paper›PMID 30832258›Full record

ArticleInternational journal of environmental research and public health2019

Comparison of Frequentist and Bayesian Generalized Additive Models for Assessing the Association Between Daily Exposure to Fine Particles and Respiratory Mortality: A Simulation Study.

Xin Fang, Bo Fang, Chunfang Wang, Tian Xia, Matteo Bottai, Fang Fang, Yang Cao

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea.International journal of environmental research and public health · 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

7 authors.

Xin FangUnit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden. fx63783985@hotmail.com.
Bo FangDivision of Vital Statistics, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. fangbo@scdc.sh.cn.
Chunfang WangDivision of Vital Statistics, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. wangchunfang@scdc.sh.cn.
Tian XiaInstitute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China. xiatian@scdc.sh.cn.
Matteo BottaiUnit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden. matteo.bottai@ki.se.
Fang FangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden. fang.fang@ki.se.
Yang CaoClinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, 70182 Örebro, Sweden. yang.cao@oru.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Data Interpretation, StatisticalAir PollutantsBayes TheoremChinaHumansMortalityParticulate MatterRespiratory Tract DiseasesUncertaintyAir PollutantsParticulate MatterBayesian statisticsfine particulate mattergeneralized additive modelrespiratory mortalitytime-series analysis

Identifiers

PMID30832258
PMCPMC6427163

What OpenQuestion holds

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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.