An early method for robust regression was iteratively reweighted least-squares regression (Huber, 1964). This is an iterative procedure in which each observation is assigned a weight. Initially, all weights are 1. The method fits a least-squares model to the weighted data and uses the size of the residuals to determine
Robert Blanchard's role as a data scientist at SAS has afforded him the flexibility to live where he wants, in his case, on a beach in San Diego.
In the face of rapid digitalization and modernization, data scientists in Cameroon joined the SAS Hackathon seeking a way to preserve indigenous African languages.
After two years of virtual events we finally got the chance to attend (an in-person event at) the Gartner Data & AI Summit that took place in London. Keen to take advantage of the combined knowledge and experience of the +1500 attendees, we decided to ask them a question at
Self-care is something we should all do on a daily basis. It's good for the body, mind and spirit. While we have a plethora of breathing and meditation audios in our SAS RFC gallery, apps are great too. In this article, I’m sharing six free meditation apps that can assist
A common question on SAS discussion forums is how to randomly assign observations to groups. An application of this problem is assigning patients to cohorts in a clinical trial. For example, you might have 137 patients that you want to randomly assign to three groups: a control group, a group
Six scholars from North Carolina A&T State University in technology– or STEM-focused majors helped foster the next generation of data-literate students while also donating to those in need. SAS recently facilitated a donation drive with students from the Wake County Young Men's Leadership Academy (WYMLA) in Raleigh, North Carolina and scholars from
If you use formatted variables in a CLASS statement in procedures such as MEANS or UNIVARIATE, SAS will use the formatted values of those variables and not the internal values. For example, consider you have a data set (Health) with variables Subj, Age, Weight, and Height. You want to see
A delegation of 26 members of the American Chambers of Commerce of the European Union (AmCham EU) made their way to the Research Triangle. Representatives learned about local methods and best practices for developing the American economy and locating potential business partners. Leaders from countries across Europe first met with
They look the same, don’t they? It can be hard to tell one duck from another, but one of them is from a bad egg (I’ll tell you which one at the end of the article). Business rules are a bit like this. They find you lots of alerts, but
One of the most exciting aspects of working at SAS is seeing #Data4Good projects come together. For example, SAS is an official analytics supplier to the Special Olympics, part of the inclusion movement for people with intellectual disabilities. For the 2019 edition of the Special Olympics, we brought together a
Salad kits have become very popular over the last few years, and for good reason. Most of us are trying to eat healthier and they make it easier. Right? Not so fast. Not all salad kits are created equal. In fact, some of them can be loaded with added sugars,
Many modern statistical techniques incorporate randomness: simulation, bootstrapping, random forests, and so forth. To use the technique, you need to specify a seed value, which determines pseudorandom numbers that are used in the algorithm. Consequently, the seed value also determines the results of the algorithm. In theory, if you know
Higher education institutions are some of the most data-rich entities in the world. Postsecondary leaders need high-quality, consistent and accurate insights to make the best decisions for their institution, students and constituents. Data governance is a topic that may seem technical in nature and perhaps important to only the IT
As a former police commissioner, I can testify that public-sector fraud is a global problem. Government fraud is becoming bigger and more dangerous every year, especially in the COVID-19 era. Governments view the pandemic as a public health emergency and a severe threat to economic stability. But it’s also important
The city of Heidelberg, Germany is known for its romantic cityscape, which attracts tourists from all over the world. It also has the youngest population in Germany, thanks largely to the many students at one of Europe's oldest and largest universities. Perhaps less well known is that Heidelberg is twinned
To find out more, please join SAS at the Microsoft stand at EuroCIS. Read all interviews of my entire series here.
A new prototype AI diagnostic test for pre-eclampsia developed by a multi-disciplinary Irish team will hopefully save thousands of lives around the world. Preeclampsia affects 1 in 10 pregnancies and causes the deaths of at least 50,000 mothers and 500,000 babies worldwide every year. It is a serious pregnancy complication
There are many factors that influence an employee's experience at a company, and one of the most important is the positive impact of a strong leader. The Great Resignation has highlighted the importance of strong leadership at every level, and that’s why we’re excited to hear from Robert L. Anderson
I have previously blogged about ways to perform balanced bootstrap resampling in SAS. I recently learned about an easier way: Since SAS/STAT 14.2 (SAS 9.4M4), the SURVEYSELECT procedure has supported balanced bootstrap sampling. This article reviews balanced bootstrap sampling and shows how to use the METHOD=BALBOOT option in PROC SURVEYSELECT
In this third article, we will introduce an alternative approach that surfaces the CMS-HCC Risk Adjustment Model execution through SASPy integration to a Flask application. We will demonstrate how this integration allows a user to score an individual patient/member on-demand, using inputs to an interactive web form to execute the model score code, surfacing the resulting score to the user.
More newsworthy than ever, since the pandemic, the so-called ESG (Environmental, Social, and Governance) is one of the hottest topics in any organization, any industry. No surprise, ESG investing continues to soar in 2022. Did I tell you I work for a company that has a solar farm, bees and
INTRODUCTION Have you ever thought of breathing as a type of movement or physical activity? Consider this. It’s the first movement we did when we were born. And we all do it – an average of 14-16 times per minute. It’s essential for every other aspect of living. And it’s accessible to
As more businesses embrace their digital transformation journeys, it’s easy to get lost in the cloud hype and overinflate the possibilities of cloud alone. Cloud migration is not a one-stop shop to solve all of an organization’s challenges. Instead, technology leaders need to adopt a cloud-smart mindset to maximize value,
One thing that impresses me about the analytical solutions we have is the degree of granularity we can get down to in the forecasting & planning process.
The business case for diversity and inclusion is clear. Research has shown that diverse organizations are more profitable, more innovative and more desirable to employees. So how do we as marketers contribute to making our organizations inclusive? I believe that we must start by cultivating curiosity. Curiosity fuels diversity and inclusion Curiosity
Here at SAS, we understand the importance of having access to cutting-edge professional resources. That’s why, for more than 40 years, we’ve provided individuals in programming, data management and analytics fields with low-cost and no-cost materials that promote success in their educational and professional journeys. And today, as the demand
Just getting started with this series? Make sure to explore the earlier posts Part 1, Part 2 and Part 3. Up until now, you have seen how ModelOps can solve your biggest machine learning challenges and that SAS and Microsoft, together, can help you deploy, govern and monitor your models
The Proc Python procedure, Python code editor & Python code step facilitate low-code analytics calling Python and SAS from a common interface. Data scientists also appreciate the connection to Python & R through the Model Studio Open-source Code node. Older methods of interaction include the swat and sas_kernel packages running on Python clients.
In categorical data analysis, it is common to analyze tables of counts. For example, a researcher might gather data for 18 boys and 12 girls who apply for a summer enrichment program. The researcher might be interested in whether the proportion of boys that are admitted is different from the
