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International Association for Statistical Computing: Difference between revisions

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* '''Author''': S. A Kharroubi
* '''Title''': [https://www.sciencedirect.com/science/article/pii/S2212109921000522 A Bayesian nonparametric approach for modelling health-related quality of life data]<ref>{{Cite journal |last=Kharroubi |first=Samer A. |date=2022-01-01 |title=A Bayesian Nonparametric Approach for Modeling SF-6D Health State Utility Scores |journal=Value in Health Regional Issues |volume=27 |pages=1–11 |doi=10.1016/j.vhri.2021.02.004 |pmid=34784542 |issn=2212-1099|doi-access=free }}</ref>
 
'''Honorable Mention:'''
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* '''Authors''': Cheng, Weilin; Liu, Hengyuan; Mo, Kathy ([[University of California, Davis]]); Tian, Sida and Yuan, Li ([[University of Michigan]])
* '''Title''': [https://iasc2023h5n1.gd.edu.kg/dashboard/ 2022-2023 H5N1 bird flu modeling and prediction in the United States]<ref>{{Cite web |title=2022-2023 H5N1 Bird Flu Modeling and Prediction in the United States |url=https://h5n1.gd.edu.kg/ |access-date=2023-11-25 |website=h5n1.gd.edu.kg |language=en}}</ref>
 
'''3rd Place''':
 
* '''Authors''': Marcelo Bourguignon ([[Federal University of Rio Grande do Norte]]), Diego I. Gallardo ([[University of Atacama]]) and Helton Saulo ([[University of Brasília]])
* '''Title''': [https://arxiv.org/abs/2110.04428 A parametric quantile beta regression for modeling case fatality rates of COVID-19]<ref>{{Cite arXiv |last1=Bourguignon |first1=Marcelo |last2=Gallardo |first2=Diego I. |last3=Saulo |first3=Helton |date=2021-10-09 |title=A parametric quantile beta regression for modeling case fatality rates of COVID-19 |class=stat.ME |eprint=2110.04428v1 |language=en}}</ref>
 
'''Honorable Mention:'''
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# Olalekan J. Akintande ([[University of Ibadan]]): Japa Syndrome: The new normal of abnormality in Nigeria
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==Notes==
Retrieved from "https://en.wikipedia.org/wiki/International_Association_for_Statistical_Computing"