What’s interesting about the early phase?
What are the typical decisions for phase II?
Speaking about a new indication, how are decisions being taken across the industry?
How should we think about phase II studies in this setting?
What statistical approaches do we have to formulate this thinking?

In this episode, Trevor Smart and I discuss a case study to go through the step by step procedure of phase II. 

We also talk about the following points:
  • What are decision rules?
  • How can we use prior elicitation?
  • What and how do you come to a prior distribution and what is a design prior?
  • What role do relevant and non-relevant differences play here?
  • Any recommended reading?
  • What you can do differently to make sure, we make better decisions in phase II?

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I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.

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