Using an onset-anchored Bayesian hierarchical model to improve predictions for amyotrophic lateral sclerosis disease progression.
- DOI
- 10.1186/s12874-018-0479-9
- Published
- 2018-02-06
- Container
- BMC Med Res Methodol
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 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:10.1186/s12874-018-0479-9,
title = {Using an onset-anchored Bayesian hierarchical model to improve predictions for amyotrophic lateral sclerosis disease progression.},
author = {Karanevich AG and Statland JM and Gajewski BJ and He J.},
year = {2018},
journal = {BMC Med Res Methodol},
doi = {10.1186/s12874-018-0479-9},
url = {https://doi.org/10.1186/s12874-018-0479-9}
}RIS
TY - JOUR TI - Using an onset-anchored Bayesian hierarchical model to improve predictions for amyotrophic lateral sclerosis disease progression. AU - Karanevich AG AU - Statland JM AU - Gajewski BJ AU - He J. PY - 2018 JO - BMC Med Res Methodol DO - 10.1186/s12874-018-0479-9 UR - https://doi.org/10.1186/s12874-018-0479-9 ER -
APA
AG, K., JM, S., BJ, G., & J., H. (2018). Using an onset-anchored Bayesian hierarchical model to improve predictions for amyotrophic lateral sclerosis disease progression.. BMC Med Res Methodol. https://doi.org/10.1186/s12874-018-0479-9
Source records
- europe-pmc · retrieved 2026-09-26T16:26:23.462Z
- doaj · retrieved 2026-09-26T16:26:23.460Z