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Arxiv|August 18, 2022
Incorporating testing volume into estimation of effective reproduction number dynamicsIsaac H Goldstein, Jon Wakefield, Volodymyr M Minin
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|April 15, 2024
Incorporating testing volume into estimation of effective reproduction number dynamicsIsaac H Goldstein, Jon Wakefield, Volodymyr M Minin
Plos Computational Biology|May 6, 2025
Accounting for reporting delays in real-time phylodynamic analyses with preferential samplingCatalina M Medina, Julia A Palacios, Volodymyr M Minin
Bayesian Analysis|April 26, 2024
How Trustworthy Is Your Tree? Bayesian Phylogenetic Effective Sample Size Through the Lens of Monte Carlo ErrorAndrew Magee, Michael Karcher, Frederick A Matsen, et al.
Arxiv|September 11, 2023
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance dataIsaac H Goldstein, Daniel M Parker, Sunny Jiang, et al.
Statistics in Medicine|September 14, 2023
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID-19 pandemicAchal Awasthi, Volodymyr M Minin, Jenny Huang, et al.
Biometrics|August 7, 2024
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance dataIsaac H Goldstein, Daniel M Parker, Sunny Jiang, et al.
Arxiv|June 25, 2024
Semiparametric inference of effective reproduction number dynamics from wastewater pathogen surveillance dataIsaac H Goldstein, Daniel M Parker, Sunny Jiang, et al.
Conflict and Health|May 12, 2026
Nighttime lights as a proxy for conflict intensity and infrastructure recovery in Yemen and UkraineMaia C Tarnas, Tetyana I Vasylyeva, Volodymyr M Minin, et al.
Medrxiv : the Preprint Server for Health Sciences|August 6, 2025
Unjustified Poisson assumptions lead to overconfident estimates of the effective reproductive numberBarbora Němcová, Isaac H Goldstein, Jessalyn Sebastian, et al.
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