Evidence map›Paper›PMID 34776537›Full record

ArticleMetrika2021

Checking for model failure and for prior-data conflict with the constrained multinomial model.

Berthold-Georg Englert, Michael Evans, Gun Ho Jang, Hui Khoon Ng, David Nott, Yi-Lin Seah

Abstract read
In one paragraph

Article in Metrika, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Berthold-Georg EnglertCentre for Quantum Technologies, Department of Physics, National University of Singapore and MajuLab, Singapore, Singapore.
Michael EvansDepartment of Statistical Sciences, University of Toronto, Toronto, ON Canada.ORCID 0000-0002-3899-013X
Gun Ho JangOntario Institute for Cancer Research, Toronto, ON Canada.
Hui Khoon NgYale-NUS College, Centre for Quantum Technologies, MajuLab, Singapore, Singapore.
David NottDepartment of Statistics and Applied Probability, National Unversity of Singapore, Singapore, Singapore.
Yi-Lin SeahCentre for Quantum Technologies, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multinomial models can be difficult to use when constraints are placed on the probabilities. An exact model checking procedure for such models is developed based on a uniform prior on the full multinomial model. For inference, a nonuniform prior can be used and a consistency theorem is proved concerning a check for prior-data conflict with the chosen prior. Applications are presented and a new elicitation methodology is developed for multinomial models with ordered probabilities.

Indexed as

Checking for prior-data conflictElicitationHardy–Weinberg equilibriumModel checkingOrdered probabilitiesQuantum state estimation

Identifiers

PMID34776537
PMCPMC8550545

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.