A novel Bayesian framework uncovering brain connectivity-to-shape relationship in preclinical Alzheimer’s disease
- DOI
- 10.1214/26-aoas2154
- Published
- 2026-06-01
- Container
- The Annals of Applied Statistics
- Publisher
- Institute of Mathematical Statistics
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1214/26-aoas2154,
title = {A novel Bayesian framework uncovering brain connectivity-to-shape relationship in preclinical Alzheimer’s disease},
author = {Shengxian Ding and Emily Johns and Anton Orlichenko and Carolyn Fredericks and Yize Zhao},
year = {2026},
journal = {The Annals of Applied Statistics},
doi = {10.1214/26-aoas2154},
url = {https://doi.org/10.1214/26-aoas2154}
}RIS
TY - JOUR TI - A novel Bayesian framework uncovering brain connectivity-to-shape relationship in preclinical Alzheimer’s disease AU - Shengxian Ding AU - Emily Johns AU - Anton Orlichenko AU - Carolyn Fredericks AU - Yize Zhao PY - 2026 JO - The Annals of Applied Statistics DO - 10.1214/26-aoas2154 UR - https://doi.org/10.1214/26-aoas2154 ER -
APA
Ding, S., Johns, E., Orlichenko, A., Fredericks, C., & Zhao, Y. (2026). A novel Bayesian framework uncovering brain connectivity-to-shape relationship in preclinical Alzheimer’s disease. The Annals of Applied Statistics. https://doi.org/10.1214/26-aoas2154
Source records
- crossref · retrieved 2026-11-10T13:36:50.972Z