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In the energy industry, oil and gas companies as well as utilities are struggling with many changes at once. First, they're facing what the oil and gas industry has coined "the big crew change," meaning the retirement of those with the most skills and experience on how to run their
SAS administration and support can be a real challenge for some companies. It all has to do with not having the right resources and skills. Business analysts are often charged with maintaining SAS. They know data, but they don’t have the IT skills needed to properly support SAS. IT teams
Protein seems to be everywhere these days from television ads to magazines to grocery store shelves. With all the publicity surrounding protein, you’d think Americans weren’t getting enough of it while in reality, most of us consume more than enough protein.
Did you check your email and/or favourite social media site before leaving for work this morning? Did you do it before getting out of bed? Don’t worry, you’re not alone. I do it every morning as a little treat while I “wake up” and whether I realize it or not,
I speak with executives in every industry – in companies big and small – and they all have the same challenge: They’re overwhelmed with data. The problem? There’s a huge gap between the amount of data they possess and the number of employees who can analyze it. This lack of
At PharmaSUG 2014 in San Diego, I had the pleasure of attending "Swimmer Plot: Tell a Graphical Story of Your Time to Response Data Using PROC SGPLOT", by Stacey Phillips. In this paper, Stacey presented an interesting graph showing the effects of a study drug on patients' tumor size. Stacey
Having spent a good part of my career “owning” the data hub in IT for analytics solutions, I think I can say, the myth that IT controls all things data has become less and less true through the years – and eventually it will be completely false. Or maybe it
Last month, SAS launched our new no-cost software for higher education teaching, learning and research – SAS® University Edition. Available to students, professors, academic researchers and lifelong learners, SAS University Edition provides local access to BASE SAS®, SAS/STAT® software, SAS® Studio, SAS/IML® software and SAS/ACCESS® Interface to PC Files. SAS University Edition
My esteemed colleague and recently-published author Jared Dean shared some thoughts on how ensemble models help make better predictions. For predictive modeling, Jared explains the value of two main forms of ensembles --bagging and boosting. It should not be surprising that the idea of combining predictions from more than one
A colleague asked me an interesting question: I have a journal article that includes sample quantiles for a variable. Given a new data value, I want to approximate its quantile. I also want to simulate data from the distribution of the published data. Is that possible? This situation is common.
Today it is common knowledge that a classroom teacher is the single largest in-school influence on student academic growth[1]. So when South Carolina received ESEA flexibility in July, 2012, the State Department of Education immediately began an initiative empowering teachers to increase their own effectiveness. Known as the Educator Evaluation System
Recently, a user posed a question on how to plot stacked frequencies on a time axis. The data included frequencies of different viruses by week. The data is modified to preserve confidentiality and is shown below. The user's first instinct was to use a bar chart with stacked groups. This works for automatically computing frequencies
Principle 11: Risk management reports should be distributed to the relevant parties while ensuring confidentiality is maintained. Early in 2013, the Basel Committee on Banking Supervision (BCBS) issued guidelines for banks regarding risk data aggregation and reporting. Known collectively as BCBC 239, these principles were designed to ensure that banks
Let’s be honest. When well planned, a SAS Grid Computing platform as the basis for a shared, highly available, high-performance analytics environment can pay for itself many times over. However, it is critical that your overall objectives and computing environment be well understood for you to achieve success with your
Today is my 500th blog post for The DO Loop. I decided to celebrate by doing what I always do: discuss a statistical problem and show how to solve it by writing a program in SAS. Two ways to parameterize the lognormal distribution I recently blogged about the relationship between