Evidence map›Paper›PMID 31057338›Full record

ArticleThe American statistician2019

The Role of Expert Judgment in Statistical Inference and Evidence-Based Decision-Making.

Naomi C Brownstein, Thomas A Louis, Anthony O'Hagan, Jane Pendergast

Abstract read
In one paragraph

Article in The American statistician, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Application and interpretation of linear-regression analysis.Medical hypothesis, discovery & innovation ophthalmology journal · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. An Expert Elicitation on the Effects of a Ban on Menthol Cigarettes and Cigars in the United States.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. 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.

Naomi C BrownsteinDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL.ORCID 0000-0002-9991-427X
Thomas A LouisDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-3592-6386
Anthony O'HaganSchool of Mathematics and Statistics, The University of Sheffield, Sheffield, UK.
Jane PendergastDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.

Funding

TransmissionU19AI089680 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WILLIAM J MOSS · 2010 to 2026
$25.6M
Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI CATHLEEN S COLON-EMERIC · 2006 to 2026
$24.6M
NIAID NIH HHS U19 AI089680NIA NIH HHS P30 AG028716
6 · The paper itself

Abstract

This article resulted from our participation in the session on the "role of expert opinion and judgment in statistical inference" at the October 2017 ASA Symposium on Statistical Inference. We present a strong, unified statement on roles of expert judgment in statistics with processes for obtaining input, whether from a Bayesian or frequentist perspective. Topics include the role of subjectivity in the cycle of scientific inference and decisions, followed by a clinical trial and a greenhouse gas emissions case study that illustrate the role of judgments and the importance of basing them on objective information and a comprehensive uncertainty assessment. We close with a call for increased proactivity and involvement of statisticians in study conceptualization, design, conduct, analysis, and communication.

Indexed as

Bayesian paradigmClinical trialsCollaborationElicitationScientific methodSubjectivity

Identifiers

PMID31057338
PMCPMC6474725

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.