Our Blog

  • Filter

 

Blog Post

Best Practices for Hardcoding Clinical Trial Data

In clinical trials, the accuracy and integrity of data are paramount. While the goal is to handle data systematically and programmatically, there are occasions when hardcoding becomes necessary. Note the following considerations for when to hardcode and the importance of documenting these decisions.

Blog Post

Bringing a Medical Device or Drug to Market-Part 2: How to Use the Request for Designation (RFD) Process to Classify Your Product

Distinguishing between a medical device and a drug may be challenging to define for some products. We turn our attention to a crucial tool that Sponsors may use to have the FDA classify your product: the Request for Designation (RFD). In this blog, we’ll describe what an RFD entails and its significance in the regulatory realm, providing a comprehensive overview of the process.

Blog Post

Blinded Variance Estimation Sample Size Adjustments 

Interim sample size adjustments and their many approaches are a frequent discussion point between Sponsors and statisticians during protocol development. One such approach is a blinded assessment of variance, favored by some Sponsors for its lack of alpha penalty. We will discuss how this method works, the pros, the cons, and if this approach might be appropriate for your protocol.

Blog Post

Implementation of ICH M12 Guidance in 2024: What’s New for Drug Interactions?

The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) adopted a harmonized drug-drug interaction (DDI) guidance (ICH M12) in May 2024. The next step is for this guidance to be implemented by ICH members; the FDA and EMA have already implemented the guidance. Read our blog for key highlights of the 2024 ICH M12 Guidance.

Blog Post

FMQs vs SMQs 

Sponsors often rely on Standardized MedDRA Queries (SMQs) to group adverse events for detection of safety signals across clinical trials. Additionally, the FDA has introduced their own version of adverse event groupings – FDA MedDRA Queries (FMQs). So, what’s the difference? 

Blog Post

Statistical Challenges with Site Enrollment in Clinical Trials 

Did you know that insufficient enrollment is the leading cause for clinical trials being halted? Study sponsors rightly embrace those sites which are high performing as they give a study the best opportunity to meet its enrollment targets. However, is it possible for there to be overreliance on these high enrolling sites? Unfortunately, the answer is yes.