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The JMP Blog is the official blog about JMP software from SAS, which links robust statistics with graphics, in memory and on the desktop. Contributors to the blog are members of the JMP family: from R&D, marketing, training, technical support and sales.
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Richard Zink
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Principal Research Statistician Developer
Richard C. Zink is Principal Research Statistician Developer in the JMP Life Sciences division at SAS Institute. He joined SAS in 2011 after eight years in the pharmaceutical industry, where he designed and analyzed clinical trials in multiple therapeutic areas and participated in US and European drug submissions and FDA advisory committee hearings. Richard is the Statistics Section Editor for Therapeutic Innovation & Regulatory Science (formerly Drug Information Journal), and holds a Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill. Follow him at @rczink.
Recent Posts
Using JMP to evaluate MCMC diagnostics
It’s no secret that JMP excels in the visual exploration of data. There’s a healthy dose of statistics, too. But when asked about Bayesian methods, JMP is ... Read More
The 2013 JMP Life Sciences European Roadshow
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 ... Read More
Truly efficient clinical reviews - no, we didn't forget the patient profiler
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 ... Read More
We don’t need another hero … or do we?
Those of us who grew up in the 1980s are likely very familiar with Tina Turner’s song from the soundtrack of Mad Max Beyond Thunderdome, ... Read More
Truly efficient clinical reviews – an example
JMP Clinical 4.1 contains example data to help illustrate its new review functionality. This additional data is referred to as Nicardipine Early Snapshot, and includes ... Read More
Truly efficient clinical reviews – it’s all about the keys
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 ... Read More
Truly efficient data reviews for clinical trials
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 ... Read More
Predictive modeling in the life sciences
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 ... Read More
A year for statistics
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 ... Read More

Analyzing adverse events using Bayesian hierarchical models