Using Virtual Join in JMP 13 to explore adverse events data

Virtually joining data tables is a new capability in JMP 13 that can save you space and memory, while increasing your productivity in analyzing your data from multiple tables. This new feature can help with large data tables, and save you time in trying to figure out the best way […]

Helping clinical trials run better, faster

As you read this post over your afternoon coffee, scientists all over the world are hard at work trying to prevent the spread of deadly viruses, and cure and treat debilitating illnesses like cancer, HIV and Alzheimer’s. When a breakthrough happens and one of those scientists puts her finger on […]

Are we on schedule? Predictive modeling for patient recruitment in multicenter trials

Since clinical trials are experiments that study patients, they rely heavily on finding the right kind and the right number of patients. Clinical trials can be conducted only after enough patient information has been collected and treatment groups randomly assigned, so it is very important that researchers recruit enough people […]

Happy little trees: An updated Forest Plot Add-In

Recently, I experienced an event that brought me back to my childhood. I was having dinner at my brother's house with my sons. The television was on, and at some point Bob Ross' show "The Joy of Painting" came on the air.  If you've never experienced the show, it is […]

Getting started with risk-based monitoring

Our own Richard Zink has written extensively about the risk-based monitoring (RBM) capabilities in JMP Clinical, both on this blog and, of course, in his book. As a complement to the wealth of hands-on information that Richard has created, which primarily covers the mechanics of RBM with JMP software, we […]

Identifying re-enrolled subjects in clinical trials, the sequel

This past June, at the Drug Information Association (DIA) annual meeting, I had the opportunity to present and participate in a panel discussion on innovative approaches to ensure quality and compliance in clinical trials. Not surprisingly, a majority of the discussion focused on sponsor responsibilities for building quality into its […]

New JMP book on risk-based monitoring & fraud detection in clinical trials

Risk-based monitoring (RBM) is a hot topic in the clinical trials arena. It’s a new way of designing and operating clinical trials. Now, rather than visiting each clinical trial site and reviewing all patient records, you identify just those who present the higher risk of poor data quality, fraud and […]

Coming in July: Book on centralized monitoring of clinical trials

In the spirit of shameless self-promotion full disclosure with the goal of collecting huge royalty checks promoting the efficient review of clinical trials, I’d like to make everyone aware of the forthcoming SAS Press title Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS. Clinical trials are […]

Summarizing patient safety with standardized MedDRA queries (SMQs)

If you work or have worked within the pharmaceutical industry, then you are likely familiar with MedDRA, the Medical Dictionary for Regulatory Activities. This dictionary makes it possible for drug and device companies to perform analyses of adverse events or medical history. First, MedDRA provides a way to consistently map […]

7 things to love about JMP Clinical 5.0

New versions of JMP Clinical and Genomics are available starting today, so I wanted to take the opportunity to give a brief overview of some of the new features you’ll come to enjoy with the new release of JMP Clinical 5.0. Below are seven things to love! 1. Risk-Based Monitoring […]