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SUMMARY:Joaquim Ferreira (Laboratório de Farmacologia Clínica e Terapêu
 tica\, Faculdade de Medicina\, Universidade de Lisboa)
DTSTART:20200723T100000Z
DTEND:20200723T110000Z
DTSTAMP:20260423T003255Z
UID:ProbStat/4
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/ProbStat/4/"
 >COVID\, uncertainty and clinical trials</a>\nby Joaquim Ferreira (Laborat
 ório de Farmacologia Clínica e Terapêutica\, Faculdade de Medicina\, Un
 iversidade de Lisboa) as part of Probability & Statistics  (IST-CEMAT\, FC
 -CEAUL\, ULisbon)\n\n\nAbstract\nThe current COVID-19 pandemic is putting 
 an enormous pressure not just in the society but also in all the scientifi
 c community.\n\nIf we want to follow a scientific approach to respond to t
 he doubts and challenges that were generated\, we need to find a balance b
 etween the most robust data\, the best experimental methodologies to addre
 ss the new problems and all the uncertainty associated.\n\nIn this present
 ation we will try to address this balance between best available data\, cl
 inical research methodology and uncertainty applied to what we know about 
 pandemics\, vaccine development and clinical trials. There will be a parti
 cular focus on the COVID-19 pandemic data and current research efforts for
  the development of vaccines and efficacious treatments.\n
LOCATION:https://researchseminars.org/talk/ProbStat/4/
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