The Cytel blog keeps you up to speed with the latest developments in biostatistics and clinical biometrics.

Webinar on Adaptive Designs for Dose Finding: Part 2

August 19, 2020

Bjoern Bornkamp, Statistical Methodologist at Novartis and Jose Pinheiro, Senior Director, Johnson & Johnson provided their insights on adaptive designs for dose finding in Cytel’s latest webinar. The webinar demonstrates how adaptive and Bayesian techniques can be implemented for optimal dose-finding.

This two-part blog series provides a summary of the webinar. Read the first part to get key highlights from the presentation by Jose Pinheiro on the need to conduct dose finding Phase 2 studies, dose selection comparisons and the use of MCP-Mod for dose finding. 

Continue reading this second part to learn about the methods of adaptive dose-finding, presented by Bjoern. Click the button to access the webinar recording and download the presentation slides

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Webinar: Adaptive Designs for Dose Finding

August 13, 2020

Bjoern Bornkamp, Statistical Methodologist at Novartis and Jose Pinheiro, Senior Director, Johnson & Johnson provided their insights on adaptive designs for dose finding in Cytel’s latest webinar. Finding the right dose in Phase 2 gives a potential new therapy its best chance to demonstrate efficacy during Phase 3. A well-executed dose-ranging trial therefore has the potential to alter the course of the entire clinical development program. This webinar demonstrates how adaptive and Bayesian techniques can be implemented for optimal dose-finding.

This two-part blog series will provide a summary of the webinar. In this first part, get key highlights from the presentation by Jose Pinheiro on the need to conduct dose finding Phase 2 studies, dose selection comparisons and the use of MCP-Mod for dose finding. Click the button to access the webinar recording and download the presentation slides

Access Replay

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PROC MCPMod in Bronchodilator Case Study

July 5, 2016

 

At a recent PhUSE SDE, Cytel’s Chitra Tirodkar presented how East PROC MCPMod could be used  to  help solve the problem of uncertain true dose-response relationship in a bronchodilator study.  In this blog we summarize some of the issues, and make Chitra's slides available for download. 

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MCPMod: An Introduction

October 15, 2015

The method for dose-response modeling that is widely called MCPMod allows a sponsor to measure the likelihood that particular dose-response curves are the right mathematical model for a given set of data. Since several different dose-response curves might be able to fit the data, how can you determine which is the best curve for your purposes?

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Mitigate Phase 3 Clinical Trial Risk by Optimizing Phase 2 Data

August 10, 2015

When approaching a Phase 3 clinical trial, the need to ‘de-risk’ the massive investment often leads sponsors on a quest for the perfect risk mitigating adaptation. While a strategically planned clinical trial design can be an important step in giving a new medicine its best possible chance of success, there are a number of other ways that a trial sponsor can minimize study risk.

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MCP-Mod for the Modern Dose-Ranging Clinical Trial

July 21, 2015

MCP-Mod methodology for dose-ranging clinical trials has been gaining popularity since the 2013 publication of the qualification opinion by the European Medicines Agency Committee for Medical Products for Human Use. Since its development at Novartis, MCP-Mod promises to devise proof-of-concept and dose-ranging trials which generate superior statistical evidence for dose-selection, while providing safety and efficacy data that can prove critical data for Phase III clinical trial design. 

Although the general framework of the MCP-Mod method are becoming more familiar, its added complexity raises the question of whether it is a necessary supplement (or even substitute) for traditional dose-ranging trials. Here are a few shortfalls of the traditional approach that MCP-Mod is equipped to handle. 

 

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