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Bayesian and Nonparametric Statistics - Teaming up two opposing theories for the benefit of prognostic studies in Covid-19

Projektnummer

0067576

Zusammenfassung

The main goal of this project is to consider how to avoid false conclusions from small single-center clinical studies in COVID-19 pandemic. By fusing Bayesian and non-parametric approaches, accurate prognosis with robust assessment of risk uncertainty to guide patient care and societal policies should be achieved.

Projektinformationen

Status:

Beendet

Startdatum:

01.10.2021

Enddatum:

31.03.2023

Fördersumme:

120.000 €

Profilbereich:

Beendete Förderinitiativen

Förderinitiative:

Corona Crisis and Beyond - Perspectives for Science, Scholarship and Society