Sample size and power training for use in clinical trials

Webinar On Demand

Bayesian Assurance:

Formalizing Sensitivity Analysis For Sample Size

This webinar has taken place
and is now available on demand:

Webinar Details

Title: Bayesian Assurance: Formalizing Sensitivity Analysis For Sample Size

In this webinar you'll learn about:

  • Benefits of Sensitivity Analysis: What does the researcher gain by conducting a sensitivity analysis?

  • Why isn't Sensitivity Analysis formalized: Why does sensitivity analysis still lack the type of formalized rules and grounding to make it a routine part of sample size determination in every field?

  • How Bayesian Assurance works: Using Bayesian Assurance provides key contextual information on what is likely to happen over the total range possible values rather than the small number of fixed points used in a sensitivity analysis

  • Elicitation & SHELF: How expert opinion is elicited and then how to integrate these opinions with each other plus prior data using the Sheffield Elicitation Framework (SHELF)

  • Why use in both Frequentist or Bayesian analysis: How and why these methods can be used for studies which will use Frequentist or Bayesian methods in their final analysis

  • Plus more

Duration - 60 minutes

Speaker: Ronan Fitzpatrick, Head of Statistics, Statsols

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About Our Host
Ronan Fitzpatrick

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Ronan Fitzpatrick is Head of Statistics at Statsols and the Lead Researcher for nQuery Sample Size Software. He is a guest lecturer for many institutions including the FDA.
Reducing the risk & cost of clinical trials, for innovative organizations such as:
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