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Bayesian statistics provides formal statistical methods for using prior information to study current information more efficiently when designing a trial, monitoring a trial or analysing a trial's results
nQuery Bayes provides researchers access to a suite of tools that allows them to formalize the use of Bayesian methodology into their clinical trial framework using:
Hosted by Ronan Fitzpatrick - Head of Statistics and nQuery Lead Researcher at Statsols - you'll learn about the benefits of these procedures and how you can implement them into your work:
In this webinar you’ll learn about:
1) Dose-escalation with the Bayesian Continual Reassessment Method
CRM is a growing alternative to the 3+3 method for Phase I trials finding the Maximum Tolerated Dose (MTD).
2) Bayesian Assurance with Survival Example
This Bayesian alternative to power has experienced a rapid rise in interest and application from researchers.
3) Mendelian Randomization
Mendelian randomization (MR) is a method that allows testing of a causal effect from observational data in the presence of confounding factors.
4) Negative Binomial Distribution
Negative binomial model has been increasingly used to model the count data.