In The Essential Guide to Bootstrapping in SAS, I note that there are many SAS procedures that support bootstrap estimates without requiring the analyst to write a program. I have previously written about using bootstrap options in the TTEST procedure. This article discusses the NLIN procedure, which can fit nonlinear
Just getting started with this series? Make sure to explore Part 1 and Part 2. There are different ways you can use these two tools to accelerate model building, deployment and monitoring. Figure 1 summarizes best practices for conducting ModelOps using SAS Model Manager and Azure Machine Learning. Best practice
We recently passed the two-year anniversary of US school closures that transformed schooling for students, teachers and parents. The pandemic induced the largest remote learning experiment in history. But, lack of time to prepare for remote education and unequal internet and device access left many students unserved or underserved. It was
Now more than ever, as the lines blur between work and life, our well-being affects how we show up at work as well as how we thrive in our personal lives. As many of us transition out of full-time remote work and into a new hybrid routine, it’s important to
Creating an inclusive work environment where employees can thrive and be their authentic selves is part of SAS’ Diversity, Equity, and Inclusion (DEI) strategy. Our Employee Inclusion Groups (EIGs) are key to fostering a sense of belonging and acceptance. But what exactly do these groups do? Today, meet the Black
Recently, I wrote about Bartlett's test for sphericity. The purpose of this hypothesis test is to determine whether the variables in the data are uncorrelated. It works by testing whether the sample correlation matrix is close to the identity matrix. Often statistics textbooks or articles include a statement such as
The SGPLOT procedure supports a wide variety of plot types that you can use directly or combine together to create more complex graphs. Even with this flexibility, there might be times you run across a graph that you cannot create using one of the standard plot types. An "area" bar
The CMS-HCC Risk Adjustment models are used to reimburse Medicare Advantage plans based on the health status of the plans’ members. CMS-HCC Risk Adjustment is the practice of assigning a risk score based on demographics and diagnoses to an individual beneficiary of Medicare for the purpose of calculating an expected cost of care, relative to the average beneficiary. Accurate risk adjustment requires an accurate diagnostic profile of an individual on an annual basis, documenting diagnoses via submitted claims or within a provider's medical record.
You read “First COVID case reported in America” on your phone, not thinking much of it. Why should you, it’s just a regular day in January 2020, right? A couple months later, the world drastically changes. While we have all learned a lot since then, a question that still boggles
SAS' Hamza Ghadyali reveals how to build computer vision solutions with privacy baked into their design.
Cholesterol is one of many factors that impact your risk of heart disease. Cholesterol itself is not the enemy, but when the types of cholesterol and the particles carrying them around are out of balance, it’s time to make some adjustments to decrease your risk.
When you have many correlated variables, principal component analysis (PCA) is a classical technique to reduce the dimensionality of the problem. The PCA finds a smaller dimensional linear subspace that explains most of the variability in the data. There are many statistical tools that help you decide how many principal
Change is the only constant, and it doesn’t happen overnight. This is particularly true in the world of data analytics. As organizations are looking to become more digital, resilient and profitable, executives are going back to the whiteboard to reconsider how they’re using data and analytics to transform their business.
Outliers provide much-needed insights into the actual relationships that influence the demand for products in the marketplace. They are particularly useful when modeling consumer behavior where abnormalities are common occurrences or unforeseen disruptions that impact consumer demand. But why do demand planners cleanse out outliers, when many are not really
As companies continue to amass zettabytes of data, the talent hunt for data scientists who can create clarity out of all the noise, has never been greater. But one of the greatest challenges a data scientist faces is communicating the uncovered insights wrangled from the relevant data to decision-makers. To
To a numerical analyst, numerical integration has two meanings. Numerical integration often means solving a definite integral such as $$int_{a}^b f(s) , ds$$. Numerical integration is also called quadrature because it computes areas. The other meaning applies to solving ordinary differential equations (ODEs). My article about new methods for solving
When creating bar charts, it is very common to display labels with the bars to make it easier to determine the bar values or to provide additional information in the chart. However, these labels can take away valuable data space, particularly if you generate a smaller-sized graph. As you see
Leaders from businesses and governments across the world continue to show progress on a range of critical environmental topics, addressing climate resilience and taking actions to ensure a more sustainable and thriving planet. Advancements and innovations continue to open new avenues for environmental leadership – and the use of data
Welcome to this blog series on how to install SAS Analytics Pro on Viya on your personal MacBook. In this first post, we introduce what SAS Analytics Pro on Viya is and how to install the software.
In the second of two Q&As with R&D colleagues, SAS' Udo Sglavo provides a window into how we approach drug-development challenges with machine learning.
In our last article, Flower Power - Exploring Flower Essences, you learned about floral essences and how these liquid petal potions contain the bioenergetic imprint of the flower’s chi or life force. They work with the emotions of the body as noted by cultures throughout the centuries and can enhance
Before I started with SAS, I worked at the San Bernardino County Department of Behavioral Health. Among many other projects, our analytics work included integrating data from multiple county departments and risk stratifying citizens in the greatest need of public services. This led to our 1115 Whole Person Care (WPC) waiver
Recently, I showed how to use a heat map to visualize measurements over time for a set of patients in a longitudinal study. The visualization is sometimes called a lasagna plot because it presents an alternative to the usual spaghetti plot. A reader asked whether a similar visualization can be
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. This post builds upon CAS-Action! Create Columns in CAS Tables - Part 1 by showing how to add formats and modify the length of computed columns. I'll start by building off the following code where I
Babeș-Bolyai University (UBB) is the largest and highest-ranked university in Romania. Its Faculty of Economics and Business Administration (FSEGA) is the largest faculty at any university in Romania. It is also the highest-ranked institution in the country for management and business and top-ranked for economics. The faculty was founded as
Just getting started with this series? Make sure to read part 1: How ModelOps addresses your biggest Machine Learning challenges. SAS and Microsoft make it easier for companies to address the challenges of machine learning model deployment, monitoring and governance. Specifically, SAS and Microsoft have built integrations between SAS® Model
SASPy and the SAS kernel for Jupyter Notebook enable you to connect to SAS® 9.4 and the SAS® Viya® compute server from your client machine. You can then interact with SAS and SAS Viya via Python. If you are not familiar with SASPy and the SAS kernel, this article provides an introduction.
What is McNemar's test? How do you run the McNemar test in SAS? Why might other statistical software report a value for McNemar's test that is different from the SAS value? SAS supports an exact version of the McNemar test, but when should you use it? This article answers these
Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals. Whether your favorite visualization is a pie chart, a geographic map or relies on natural language, showing the insights that empower you to make more informed decisions is a better way to do data-driven business. Analyst firms say that SAS has market-leading data visualization. This helps users across the globe find insights in their data using new and exciting trends in data visualization.
A note from Udo Sglavo: At SAS, what we deliver to our customers is a product of creative minds thinking differently, challenging the norm, taking risks, and learning from trial and error (The greatest teacher, failure is). For the return of World Creativity & Innovation Week, we want to share
