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