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Bayesian Methodologies To Address Clinical Development Challenges For COVID-19 Drugs Devices And Biologics

There are numerous challenges when designing COVID-19 trials including include lack of prior data for candidate interventions/vaccines due to the. ....

United States , United Kingdom , Caroline Claire Morgan Bouniol , Rajat Mukherjee , Natalia Muhlemann , Frank Harrell , Clinical Development ,

Hybrid Bayesian And Frequentist Clinical Trial Designs

Hybrid Bayesian And Frequentist Clinical Trial Designs
By Yannis Jemiai, Natalia Muhlemann , Rajat Mukherjee , Pantelis Vlachos , Apurva Bhingare , Yuan Ji
Most people know that clinical drug discovery is usually conducted using either Frequentist or Bayesian methods. These two statistical paradigms have enjoyed a degree of competition historically, with some statisticians tauting the statistical rigor of Frequentist designs and others the intuitiveness and flexibility of Bayesian clinical trials. Recently, though, a number of hybrid methods have arisen, that leverage the benefits of both paradigms for singularly powerful clinical trials. There are benefits of these combined methods.
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Yannis Jemiai , Pantelis Vlachos , Rajat Mukherjee , Natalia Muhlemann , Apurva Bhingare , ராஜாத் முகர்ஜி ,