Evidence map›Paper›PMID 42394892›Full record

ArticleData science in science2025

Bayesian Covariate-Dependent Circadian Modeling of Rest-Activity Rhythms.

Beniamino Hadj-Amar, Vaishnav Krishnan, Marina Vannucci

Abstract read
In one paragraph

Article in Data science in science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Beniamino Hadj-AmarDepartment of Statistics, Rice University, Houston, TX, USA.ORCID 0000-0002-2265-0712
Vaishnav KrishnanNeurology, Neuroscience, and Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-2847-0069
Marina VannucciDepartment of Statistics, Rice University, Houston, TX, USA.ORCID 0000-0002-7360-5321

Funding

Dissecting the Developmental and Epileptic Components of Encephalopathy in DEER01NS131399 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI Vaishnav Krishnan · 2023 to 2026
$1.7M
UNRAVELLING THE MECHANISMS OF EPILEPSY-DEPRESSION COMORBIDITY IN A GENETIC MOUSE MODEL OF TEMPORAL LOBE EPILEPSYK08NS110924 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI KRISHNAN, VAISHNAV · 2019 to 2023
$960k
NINDS NIH HHS K08 NS110924NINDS NIH HHS R01 NS131399
6 · The paper itself

Abstract

We propose a Bayesian covariate-dependent anti-logistic circadian model for analyzing activity data collected

Indexed as

Anti-logistic Circadian modell1-ball projection priormulti-subject modelingrest-activity rhythmswereable devices

Identifiers

PMID42394892
PMCPMC13327678

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.