Sample Size Expert Blog

Say hello to the nQuery Sample Size Software Team at JSM 2018

If you are going to JSM this year, drop by the nQuery Sample Size Software booth (#328) to meet some members of our team, talk all things sample size and give us your thoughts on nQuery! We would love to see you there.

nQuery at JSM #LeadWithStatistics 2.0

Join us at JSM Vancouver!

WorkShop: CE_34T - Wed, Aug 01, 2018 Time: 10:00 AM - 11:45 AM
Booth: #328
Location: Vancouver, BC | Vancouver Convention Centre

Meet the nQuery Team at JSM

If you are going to JSM this year, drop by the nQuery Sample Size Software booth (#328) to meet some members of our team, talk all things sample size and give us your thoughts on nQuery! We would love to see you there.

Attend the nQuery Sample Size Software Workshop at JSM

Workshop Details:
Title: Formalize the Use of Bayesian Methodology in Your Clinical Trial Framework with nQuery
Date: Wed, Aug 01, 2018 Time: 10:00 AM - 11:45 AM Workshop #: CE_34T

REGISTER FOR JSM WORKSHOP HERE >

About this Workshop:
This workshop is a must for any Biostatistician with a interest in Bayesian analysis. We will demonstrate the benefits of Bayesian Analysis and also provide you with the tools to seamlessly introduce it to your work and team.

The cost of failed clinical trials is unacceptably high and the industry needs to focus on ways to reduce the continuously high failure rate. Companies need to make better decisions much sooner in the developmental process.

They need to be in a position to recognize which of their early trials have the best potential for ultimate phase III success and then direct much needed resources towards these high-potential trials.

Statisticians are uniquely placed to lead their organizations in the exploration of newer or alternative methods that allow for a more insightful decision-making process.

nQuery Advanced now includes a new module called nQuery Bayes, specifically designed for the exploration of Bayesian methodology.

This new module includes a suite of sample size tables that allow researchers to formalize the use of Bayesian methodologies into their clinical trial framework.

  • Bayesian Posterior Credible Intervals
  • Mixed Bayesian Likelihood
  • Assurance

At this workshop learn how to:

  1. Use prior information from pilot studies and other sources to make quicker and better decisions
  2. Discover the likelihood of a "positive" trial outcome and then make better decisions on which trials show the best potential

REGISTER FOR JSM WORKSHOP HERE >


Hosted by Ronan Fitzpatrick - Head of Statistics at Statsols and nQuery Lead Researcher

Webinar Host Ronan Fitzpatrick 0.1


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Topics: JSM

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