This summer, women have been making their mark across all industries. From technology to policing, SAS wants to highlight some impactful changes made over the past few months. Click through the articles below to learn about the way women are shaping the future. Intern Spotlight This summer, SAS hired
Between technological advancements in machine learning, the rise of AI and a growing interest in data-driven decisions, the demand for analytical talent has grown significantly in recent years. In today’s workforce, however, there is a lack of representation of people of color in the tech industry. According to Harnham’s Data
I have previously written about how to efficiently generate points uniformly at random on the surface of a sphere. The method uses a mathematical fact from multivariate statistics: If X is drawn from the uncorrelated multivariate normal distribution, then S = X / ||X|| has the uniform distribution on the
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll show how to impute missing values in a distributed CAS table using the fillna method from the Pandas API in the SWAT package and the impute CAS action. Load and prepare data
We’re taught the rainbow has 7 primary colors - red, orange, yellow, green, blue, indigo and violet - and in this occasional series, we’ve discussed the unique set of nutrients and health benefits each of these colors provide. But what about the other colors that exist in nature?
A previous article shows how to use the MODELAVERAGE statement in PROC GLMSELECT in SAS to perform a basic bootstrap analysis of the regression coefficients and fit statistics. A colleague asked whether PROC GLMSELECT can construct bootstrap confidence intervals for the predicted mean in a regression model, as described in
SAS SVP Kimberly May announces the launch of the new SAS Customer Service Portal.
I've written many articles about bootstrapping in SAS, including several about bootstrapping in regression models. Many of the articles use a very general bootstrap method that can bootstrap almost any statistic that SAS can compute. The method uses PROC SURVEYSELECT to generate B bootstrap samples from the data, uses the
At a time when data has become the center of innovation, the utility industry finds itself at a crossroads. Utilities worldwide are challenged by the ever-increasing demand for efficient energy consumption and the pressing need for sustainability. Balancing these priorities is not easy, nor is it cheap. In 2022, London
In maternal and newborn health care, a pressing challenge looms large – neonatal sepsis. This dangerous infection claims the lives of countless newborns each year, devastating families and other loved ones. The World Health Organization (WHO) identifies neonatal infections as a leading cause of infant mortality, responsible for nearly a
It's easy to feel pulled in too many directions. Living in the Western world and studying mind/body modalities from an Eastern perspective can often feel like a tug of war. The Western culture is often focused on the pursuit of attainment while the East accentuates “letting go.” As I grew
It has been more than a decade since SAS 9.3 changed the default ODS destination from the old LISTING destination to more modern destinations such as HTML. One of the advantages of modern output destinations is support for Unicode symbols, superscripts, subscripts, and for formatting text by using boldface, italics,
In principle, the best method of mitigating fraud is to set up a strong detection system. A system perceived as unbeatable will mean that potential fraudsters are discouraged from attempting anything and move on to easier targets. The premise of deterrence is that a system that detects fraud and abuse
Today, a business disruption can stem from just about any type of event — a once-in-a-lifetime pandemic, economic pressures, critical skillset shortages or changes in market or investor evaluation criteria. Only resilient companies can ride out the turbulence and quickly bounce back. But with the ongoing pace of change, making
As you read this, someone you know may be in the hospital for an acute illness. Treatments for life-threatening illnesses are often based on a combination of existing protocols and staff experience. And that’s great when hospitals are running smoothly and are adequately staffed. But too often these days, hospitals
In ordinary least squares regression, there is an explicit formula for the confidence limit of the predicted mean. That is, for any observed value of the explanatory variables, you can create a 95% confidence interval (CI) for the predicted response. This formula assumes that the model is correctly specified and
In a world where technology is a cornerstone of society, opportunities in the tech sector should be within reach for all. Yet, for many people, education, resources and access barriers stand in the way. According to research by McKinsey, Black people make up 12 percent of the US workforce but only
When was the last time you updated your resume? If it’s been… awhile (no shame!), making updates may feel daunting. Even if you’re happy in your current role, it’s always a good idea to have an updated resume. After all, you never know when an awesome internal or other opportunity
SAS Model Manager and the sasctl packages aim to create a seamless ModelOps and MLOps process for Python and R models. Python and R models are not second-class citizens within SAS Model Manager. SAS, Python, and R models can be easily managed using our no-code/low-code interface. This is an interface that can be extended to support a variety of use cases.
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to remove duplicate rows from a distributed CAS table using the both the Pandas API in the SWAT package and the native CAS action. The Pandas API drop_duplicates method was
Congratulations! You’ve been tasked to manage an analytics team within your organization. In this role, it’s crucial to establish effective management practices to lead a successful team. As a manager, your role goes beyond overseeing day-to-day operations; it involves fostering a collaborative and productive environment, nurturing talent and aligning your
The global population is aging faster than ever. The United Nations estimates there are nearly one billion people over the age of 60. That number is expected to more than double by 2050. With this growth comes a rise in chronic illnesses that are, unfortunately, part of the aging process.
Life insurance is hard to sell. People don’t like talking about it because it draws attention to a topic no one wants to consider for themselves. Death. Life insurers have earned a reputation for laborious and intrusive processes to secure the coverage that everyone needs. So, over the years, they
Artificial sweeteners have been around for decades promising benefits such as reduced risk for diabetes and weight reduction. However, what most research is finding is that they don’t do either of these things and they might be doing more harm than good. Over the years, as we learn more about
A SAS programmer wanted to use PROC SGPLOT in SAS to visualize a regression model. The programmer wanted to visualize confidence limits for the predicted mean at certain values of the explanatory variable. This article shows two options for adding confidence limits to a scatter plot. You can use a
Hello from Women in Analytics (WIA)! We're featuring SAS' incredibly talented 2023 intern class, specifically the United in STEM program. This program is designed to provide valuable work experience for students from diverse backgrounds enrolled in an accredited degree program who are passionate about technology. This year's class features 43
Data has emerged as a crucial weapon in the battle against the overdose epidemic in the United States. Government agencies nationwide are grappling with social issues such as gun violence, gang activity, burglaries and homelessness to go along with the enduring overdose crisis. Addressing these issues requires using data to
The acceptance-rejection method (sometimes called rejection sampling) is a method that enables you to generate a random sample from an arbitrary distribution by using only the probability density function (PDF). This is in contrast to the inverse CDF method, which uses the cumulative distribution function (CDF) to generate a random
Don McMillan - America's top nerdy comedian -- is a featured entertainer at SAS Explore, Sept 11-14 in Las Vegas.
I love the world of science because it’s measurable and can be replicated. I’m also a strong believer in natural remedies because they have been documented for centuries and grow on our beautiful Mother Earth...you just have to know what you’re looking for. While I certainly appreciate pharmaceuticals and believe
