Causal, Bayesian, & non-parametric modeling of the SARS-CoV-2 viral load distribution vs. patient’s age
- DOI
- 10.1371/journal.pone.0275011
- Published
- 2022-10-05
- Container
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0275011,
title = {Causal, Bayesian, \& non-parametric modeling of the SARS-CoV-2 viral load distribution vs. patient’s age},
author = {Matteo Guardiani and Philipp Frank and Andrija Kostić and Gordian Edenhofer and Jakob Roth and Berit Uhlmann and Torsten Enßlin},
year = {2022},
journal = {PLOS ONE},
doi = {10.1371/journal.pone.0275011},
url = {https://doi.org/10.1371/journal.pone.0275011}
}RIS
TY - JOUR TI - Causal, Bayesian, & non-parametric modeling of the SARS-CoV-2 viral load distribution vs. patient’s age AU - Matteo Guardiani AU - Philipp Frank AU - Andrija Kostić AU - Gordian Edenhofer AU - Jakob Roth AU - Berit Uhlmann AU - Torsten Enßlin PY - 2022 JO - PLOS ONE DO - 10.1371/journal.pone.0275011 UR - https://doi.org/10.1371/journal.pone.0275011 ER -
APA
Guardiani, M., Frank, P., Kostić, A., Edenhofer, G., Roth, J., Uhlmann, B., & Enßlin, T. (2022). Causal, Bayesian, & non-parametric modeling of the SARS-CoV-2 viral load distribution vs. patient’s age. PLOS ONE. https://doi.org/10.1371/journal.pone.0275011
Source records
- crossref · retrieved 2026-09-26T17:59:51.377Z