Evidence map›Paper›PMID 38918054›Full record

ArticleeNeuro2024

Practical Bayesian Inference in Neuroscience: Or How I Learned to Stop Worrying and Embrace the Distribution.

Brandon S Coventry, Edward L Bartlett

Abstract read
In one paragraph

Article in eNeuro, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Brandon S CoventryDepartment of Neurological Surgery and the Wisconsin Institute for Translational Neuroengineering, University of Wisconsin-Madison, Madison, Wisconsin 53705.ORCID https://orcid.org/0000-0001-5524-0261
Edward L BartlettWeldon School of Biomedical Engineering, Department of Biological Sciences, and the Institute for Integrative Neuroscience, Purdue University, West Lafayette, Indiana 47907 ebartle@purdue.edu.ORCID https://orcid.org/0000-0002-9387-1854

Funding

Measurement and modeling of central auditory processing in aged animalsR01DC011580 · NIDCD · PURDUE UNIVERSITY · PI BARTLETT, EDWARD · 2012 to 2016
$1.7M
NIDCD NIH HHS R01 DC011580
6 · The paper itself

Abstract

Typical statistical practices in the biological sciences have been increasingly called into question due to difficulties in the replication of an increasing number of studies, many of which are confounded by the relative difficulty of null significance hypothesis testing designs and interpretation of

Indexed as

Bayes TheoremNeurosciencesAnimalsData Interpretation, StatisticalHumansauditoryBayesian inferenceneural codingneural data analysisstatistical inference

Identifiers

PMID38918054
PMCPMC11270157

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.