There was a faculty at the last place I worked who designed a lot of the bayesian study designs for oncology trials, Andre Rogatko I think
Embracing Bayesian methods in clinical trials
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Re: Embracing Bayesian methods in clinical trials
#22> Bayesian inference assumes the observed data are fixed and aims to quantify the evidentiary support for all possible levels of treatment effectiveness based on the data at hand. The problem with this approach is that we can only observe ONE level of treatment effectiveness, i.e., the level of treatment effectiveness that the treatment actually possesses. All other possible levels of effectiveness are entirely hypot…
> So the data cannot possibly tell you anything about how likely is the observed outcome, because the observed outcome is the only outcome that you observe. This could also be viewed as supporting the Bayesian perspective, where the observed data are not viewed as random variables - they are fixed. This is because, as you say, the observed outcome is the only outcome that you observe. It is the classical setting, in…
Statistical inference is based on random sampling. The data has to be random, otherwise it doesn't work.
I wrote another comment here clarifying my point, if you're interested: https://news.ycombinator.com/item?id=47566033
Re: Embracing Bayesian methods in clinical trials
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Re: Embracing Bayesian methods in clinical trials
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