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COVID Antworten in den wissenschaftlichen Zeitschriften der Welt


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Oxford University Press: Biostatistics
  Original Artikel Datum Titel Autoren   Max. 6 Autoren
1 [GO] 2025―Sep―27 A filtering approach for statistical inference in a stochastic SIR model with an application to Covid-19 data Katia Colaneri, Camilla Damian, Rüdiger Frey
2 [GO] 2025―Feb―20 Scalable randomized kernel methods for multiview data integration and prediction with application to Coronavirus disease Sandra E Safo, Han Lu
3 [GO] 2023―Jul―07 A joint Bayesian hierarchical model for estimating SARS-CoV-2 genomic and subgenomic RNA viral dynamics and seroconversion Tracy Q Dong, Elizabeth R Brown
4 [GO] 2023―Mrz―07 A Bayesian approach to estimating COVID-19 incidence and infection fatality rates Justin J Slater, Aiyush Bansal, Harlan Campbell, Jeffrey S Rosenthal, Paul Gustafson, Patrick E Brown
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