The future of medicine

Geoffrey Mann
Geoffrey Mann|May 22, 2013

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 [...]

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Analyzing adverse events using Bayesian hierarchical models

Richard Zink
Richard Zink|April 26, 2013

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 [...]

Visualization of life sciences data

Walter Teague
Walter Teague|April 18, 2013

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 [...]

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The 2013 JMP Life Sciences European Roadshow

Richard Zink
Richard Zink|April 12, 2013

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 [...]

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Truly efficient clinical reviews - no, we didn't forget the patient profiler

Richard Zink
Richard Zink|March 28, 2013

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, [...]

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Truly efficient clinical reviews – it’s all about the keys

Richard Zink
Richard Zink|February 7, 2013

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 [...]

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Truly efficient data reviews for clinical trials

Richard Zink
Richard Zink|January 28, 2013

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, [...]

Predictive modeling in the life sciences

Richard Zink
Richard Zink|January 18, 2013

This past week, Nate Silver held an “Ask Me Anything” chat on Reddit. There were several very good questions, one of which I found particularly important as we begin the International Year of Statistics: “What is the biggest abuse of statistics”? To which Nate replied: “Overfitting.” This response is very [...]

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A year for statistics

Richard Zink
Richard Zink|January 2, 2013

You may have heard the news that 2013 is the International Year of Statistics, a wordwide celebration of the contributions of statistics, and it couldn’t have come at a better time. Nate Silver’s near-perfect prediction of the presidential election and popular fare such as the recent Oscar-nominated Brad Pitt-starring film Moneyball [...]

Assessing the similarity of clinical trial subjects within study site

Richard Zink
Richard Zink|December 17, 2012

We’ve reached the end of our series of posts on fraud detection in clinical trials (for now, at least). Our final discussion focuses on the similarity of subjects within the clinical site, a topic that I hinted at in my response to a comment to one of my earlier posts. As part [...]

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