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SAS Global Forum 2019 (SGF) is rapidly approaching - and which of the hundreds of presentations are you planning to attend? Well, no matter what types of analyses you perform with SAS software, you'll most likely want to present your findings in a really nice/informative graph! Therefore I highly recommend
Suppose you need to assign 100 patients equally among 3 treatment groups in a clinical study. Obviously, an equal allocation is impossible because the second number does not evenly divide the first, but you can get close by assigning 34 patients to one group and 33 to the others. Mathematically,
The catch phrase “everything happens somewhere” is increasingly common these days. That “somewhere” translates into a location on the Earth; a latitude and longitude. When one of these “somewhere’s” is combined with many other “somewhere’s”, you quickly have a robust spatial data set that becomes actionable with the right analytic
Recently, the North Carolina Human Trafficking Commission hosted a regional symposium to help strengthen North Carolina’s multidisciplinary response to human trafficking. One of the speakers shared an anecdote from a busy young woman with kids. She had returned home from work and was preparing for dinner; her young son wanted
Recently, you may have heard about the release of the new SAS Cloud. The platform allows fast access to data-science applications in the cloud! Running on the SAS Cloud and using the latest container technology, SAS Cloud eliminates the need to install, update, or maintain software or related infrastructure. SAS
You are a data scientist, in your office, doing data scientist-y things when, your manager's, manager's, manager makes an impossible request. She wants you take a raw data set from the stem cell research team, scrub the data, create and score models, and be ready to rescore when new data
Have you ever dreamed of working for a professional sports organization? Do you play fantasy sports leagues and fantasize about owning a real team? Do you follow the news about player drafts and trades, and wish you could influence who your team picks? Well, here’s your chance. The latest SAS
When working with files like SAS programs, images, documents, logs, etc., we are used to accessing them in operating system directories. In Viya, many of these files are not stored on the file-system. Let's look at where and how files are stored in Viya, and how to manage them.
Steht die moderne IT vor einer Herausforderung, greifen Verantwortliche immer öfter auf ein vermeintliches Allheilmittel zurück: die Migration von Lösungen in die Cloud. Doch ist diese Maßnahme tatsächlich die Universallösung? Nun, die Antwort darauf ist ein entschiedenes „Jein“. Analytics-as-a-Service und Analytics in der Cloud sind seit Längerem ein viel diskutiertes
The idea of running software in a self-contained package took off with the launch of Docker in 2013 and has become a hot topic in the application development and DevOps community. In a recent survey by Red Hat, 57 percent of companies questioned said they use containers for some workloads
Changing how we’ve viewed the beautiful game forever. How often have we looked at a game and wondered, “How did he miss that?!” Now, with expected goals (xG) metric, we can really see if our frustration is justified, and perhaps use that to predict future results. The use of analytics
According to the World Cancer Research Fund, Breast cancer is one of the most common cancers worldwide, with 12.3% of new cancer patients in 2018 suffering from breast cancer. Early detection can significantly improve treatment value, however, the interpretation of cancer images heavily depends on the experience of doctors and technicians. The
I recently saw an interesting graph that showed the number of motor vehicle crash deaths has been going down. The graph showed deaths per mile. That's a good statistic, but I wondered whether there were other ways to look at the data? An Interesting Graph Here's the graph, from an
Structuring a highly unstructured data source Human language is astoundingly complex and diverse. We express ourselves in infinite ways. It can be very difficult to model and extract meaning from both written and spoken language. Usually the most meaningful analysis uses a number of techniques. While supervised and unsupervised learning,
I've previously written about how to deal with nonconvergence when fitting generalized linear regression models. Most generalized linear and mixed models use an iterative optimization process, such as maximum likelihood estimation, to fit parameters. The optimization might not converge, either because the initial guess is poor or because the model