Berry Consultants has released FACTS 7.1, featuring enhancements such as concurrent control comparisons, conditional power calculations, new analysis options for dichotomous endpoints, integration with the R package "Airship" for flexible graphing, improved Bayesian dose escalation consistency, and various interface improvements.

Using FACTS to design a large 2-arm safety study, borrowing information from a previous trial, exploring alternative endpoints and using an enriched population.

A Phase 2 dose finding study using a Bayesian dose response model and response adaptive randomization across multiple doses and treatment regimens. Includes a presentation of the interim analyses from the actual trial that lead to the successful phase 3 trial of Lecanemab.

A randomized two arm study, using a utility weighted modified Rankin score and rules for adapting the enrolment criteria based on the location of the haemorrhage.

Looking at RAR with 3 aims: 1) A surprising amount of the literature considers just the two arm setting, when arguably the most interesting setting for this technique is the multi-arm one. 2) There have been a number of papers over the years critical of RAR and I’d like to add present some results in favour of RAR. 3)

Designing a phase 1 dose escalation using Bayesian Logistic Regression Model (BLRM), with open enrolment (rather than cohort) using FACTS N-CRM.