Data Quality Assurance Tool for the Acute to Chronic Pain Signatures Study (A2CPS): An Interactive R Shiny Application.
- DOI
- 10.64898/2026.01.07.26343620
- Published
- 2026 Jan 8
- Container
- medRxiv : the preprint server for health sciences
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.64898/2026.01.07.26343620,
title = {Data Quality Assurance Tool for the Acute to Chronic Pain Signatures Study (A2CPS): An Interactive R Shiny Application.},
author = {Ansari B and Sadil P and Ford J and Berardi G and Taub M and Kahn A and Urrutia J and Hackman A and Gherman A and Lindquist MA},
year = {2026},
journal = {medRxiv : the preprint server for health sciences},
doi = {10.64898/2026.01.07.26343620},
url = {https://doi.org/10.64898/2026.01.07.26343620}
}RIS
TY - JOUR TI - Data Quality Assurance Tool for the Acute to Chronic Pain Signatures Study (A2CPS): An Interactive R Shiny Application. AU - Ansari B AU - Sadil P AU - Ford J AU - Berardi G AU - Taub M AU - Kahn A AU - Urrutia J AU - Hackman A AU - Gherman A AU - Lindquist MA PY - 2026 JO - medRxiv : the preprint server for health sciences DO - 10.64898/2026.01.07.26343620 UR - https://doi.org/10.64898/2026.01.07.26343620 ER -
APA
B, A., P, S., J, F., G, B., M, T., A, K., J, U., A, H., A, G., & MA, L. (2026). Data Quality Assurance Tool for the Acute to Chronic Pain Signatures Study (A2CPS): An Interactive R Shiny Application.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.01.07.26343620
Source records
- pubmed · retrieved 2026-09-25T07:44:03.657Z