[How likely are clinical events? Bayesian A/B testing in the context of COVID-19].
- DOI
- 10.1016/j.aprim.2021.102211
- Published
- 2022 Apr
- Container
- Atencion primaria
- 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:10.1016/j.aprim.2021.102211,
title = {[How likely are clinical events? Bayesian A/B testing in the context of COVID-19].},
author = {Ramos-Vera C},
year = {2022},
journal = {Atencion primaria},
doi = {10.1016/j.aprim.2021.102211},
url = {https://doi.org/10.1016/j.aprim.2021.102211}
}RIS
TY - JOUR TI - [How likely are clinical events? Bayesian A/B testing in the context of COVID-19]. AU - Ramos-Vera C PY - 2022 JO - Atencion primaria DO - 10.1016/j.aprim.2021.102211 UR - https://doi.org/10.1016/j.aprim.2021.102211 ER -
APA
C, R. (2022). [How likely are clinical events? Bayesian A/B testing in the context of COVID-19].. Atencion primaria. https://doi.org/10.1016/j.aprim.2021.102211
Source records
- pubmed · retrieved 2026-09-26T10:39:37.099Z