Sep 7, 2018 9:55:00 AM
On August 29th 2018, the FDA announced (1) that it would be establishing a Complex Innovative Trial Design (CID) Pilot Meeting Program. This follows the release earlier in August of a draft guidance (2) to help advance effective and innovative clinical trial designs early in drug development that can expedite new cancer therapies.
Topics: Oncology, FDA, adaptive sample size re-estimation, biostatistics, adaptive trials, Seamless designs
Oct 24, 2017 6:01:00 AM
The ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop is sponsored by the ASA Biopharmaceutical Section in cooperation with the FDA Statistical Association. Each year 800 statistical practitioners come together to absorb new information on statistical practices in all areas regulated by the FDA.
Cytel was honored to be involved in the workshop program, and our subject...
Topics: Sample Size, Promising Zone, Clinical Research Services, Regulation, FDA, Clinical Data, Adaptive Clinical Trials, adaptive sample size re-estimation, adaptive designs, Bayesian
Apr 11, 2017 10:29:00 AM
In a January 2017 paper (1), the FDA reviewed 22 case studies where promising Phase 2 trials did not result in efficacy, safety or both being confirmed in a Phase 3 trial.
At the outset, the authors of the paper are careful to state that the aim is not to assess why these unexpected results occurred, but rather to demonstrate how different trials contribute to developing our scientific...
Topics: Clinical Development Strategy, Phase 3, Adaptive Clinical Trials, adaptive sample size re-estimation, biostatistics, adaptive designs
Mar 10, 2017 7:19:33 AM
At the recent Biosimilars Summit in Philadelphia, Cytel's Pantelis Vlachos presented on statistical challenges and flexible approaches in biosimilar development. In this blog we summarize some of the challenges and share the slides from talk.
Topics: Oncology, Phase 3, adaptive sample size re-estimation, biostatistics, Biosimilars
Mar 2, 2017 8:45:00 AM
We continue our case study series with this example of a Phase 3 design that uses Bayesian decision making combined with frequentist final analysis.
Clinical Development Background
Our biopharmaceutical client’s lead drug candidate is a late clinical-stage cancer immunotherapy for treatment of a rare oncology indication. Clinical development of therapies in this indication faces inherent...
Topics: Oncology, Bayesian Methods, Phase 3, adaptive sample size re-estimation, biostatistics, adaptive trials, Bayesian
Nov 9, 2016 9:03:11 AM
Adaptive sample size re-estimation designs are an important part of the statistician's toolkit. In this first in a series of East Insight videos, Cytel Statistician Charles Liu walks us through the creation of an adaptive sample size re-estimation design in East with a 5 minute demo. Watch the video and download the accompanying slidedeck to recreate the steps.
Topics: East, sample size re-estimation, adaptive sample size re-estimation, adaptive trials
Sep 29, 2016 9:28:14 AM
A paper "Best practices case studies for 'less well-understood' Adaptive designs", has been published by the DIA Scientific Working Group on Adaptive Designs as a twin document to the previously discussed "Challenges and Opportunities of 'Less Well Understood' Adaptive Designs". This publication furthers understanding by reviewing 10 important case studies and sharing details on their design...
Topics: Rare Disease, Clinical Development Strategy, Adaptive Clinical Trials, Multi-Arm Studies, adaptive sample size re-estimation, Multi-Arm Multi-Stage Studies, EAST 6.4, adaptive designs, adaptive trials, Seamless designs
Apr 28, 2016 12:30:00 PM
Adaptive Designs in Practice: Interview with NIHR Research Fellow Munya Dimairo
NIHR and University of Sheffield researchers recently published a paper, ‘Adaptive designs undertaken in clinical research: a review of registered clinical trials’(Hatfield et al) which explores the current state of adaptive designs in practice. In this blog we catch up with Munya Dimairo, NIHR Research fellow and...
Topics: Group Sequential, Adaptive Clinical Trials, adaptive sample size re-estimation, adaptive designs, adaptive trials
Mar 3, 2016 3:00:00 PM
This principle, expressed by the French essayist Joseph Joubert, applies effectively to the spirit of scientific debate. More specifically, within the clinical development space, the field of adaptive designs has seen its fair share of both discussion and progress. In this blog we’ll take a look at one debated area- the efficiency...
Topics: Cyrus Mehta, Adaptive Clinical Trials, adaptive sample size re-estimation, Lingyun Liu