In my previous post, I highlighted several of the new features in our latest JMP Clinical release for clinical findings analysis (with a little help from Dr. Seuss). I didn’t use one of my favorite quotes from Oh the Places You’ll Go; so just to get it out of my
Tag: Life Sciences
As a former student and high school teacher and a parent of school age children, I always appreciated the “lazy days” of summer. They are a welcome break from homework, getting up early, studying for tests, traveling to away games, helping with homework and all of the other “normal” things
A recent post by Richard Zink highlighted the Shift plots process in JMP Clinical software. Shift plots (and shift tables, a recent enhancement to JMP Clinical 4.1) are a key analysis for data from SDTM findings domains (e.g., laboratory, vital signs, etc.), according the FDA ICH E3 guidance. JMP Clinical
Last week, I had the pleasure of listening to Peter Diamandis speak at the 10th Annual SAS Health Care & Life Sciences Executive Conference. He is the founder of the XPRIZE, a founding member of Singularity University as well as a medical doctor, author and father. His talk was an
You may be asking yourself… “Two Bayesian posts in a row? What is going on?” Though my statistical training focused on Frequentist methodologies, I am a big believer in using whatever tools help me gain insight into the statistical problem I happen to be focusing on at the moment. Frequentist
Recently, Georges Grinstein, head of the Bioinformatics Program and Co-Director of the Institute for Visualization and Perception Research at the University of Massachusetts Lowell, was in our studios hosting a webcast and promoting his upcoming seminar Exploring Data Visualization in Life Sciences Research. I had a chance to sit down
This May, JMP Life Sciences is going on the road in Europe to demo some of the new features that will be available in the upcoming releases of JMP Clinical 4.1 and JMP Genomics 6.1. The Roadshow is an excellent opportunity to hear about new functionality, ask questions or perhaps sneak
We've gotten some good feedback on our new review features that will become available in the upcoming JMP Clinical 4.1. If you're new to the conversation, feel free to catch up here, here and here. The ability of JMP Clinical to identify new or modified data from snapshot to snapshot,
In last week’s post, we discussed some of the upcoming features of JMP Clinical 4.1 that identify new and modified records when clinical trial data is updated. These tools can greatly accelerate clinical reviews, allowing the clinician, statistician or data manager to focus exclusively on unreviewed records. Here we discuss
Over the next few posts, I discuss the data review process for clinical trials and highlight some new features for JMP Clinical 4.1 that streamline this monumental endeavor. Ideally, the data from a clinical trial should be examined by as many eyes as possible – including data and protocol managers,