English

Rick Wicklin 0
Simulating data for a logistic regression model

In my book Simulating Data with SAS, I show how to use the SAS DATA step to simulate data from a logistic regression model. Recently there have been discussions on the SAS/IML Support Community about simulating logistic data by using the SAS/IML language. This article describes how to efficiently simulate

Jeremy Racine 0
Beyond health data: Alternative data sources could give unprecedented view of patient health, costs

The healthcare big data revolution has only just begun. Current efforts percolating around the country primarily surround aggregation of clinical electronic health records (EHRs) & administrative healthcare claims.  These healthcare big data initiatives are gaining traction and could produce exciting enhancements to the effectiveness and efficiency of the US healthcare

Rick Wicklin 0
Creating ODS graphics from the SAS/IML language

As you develop a program in the SAS/IML language, it is often useful to create graphs to visualize intermediate results. The language supports basic statistical graphics such as bar charts, histograms, scatter plots, and so on. However, you can create more advanced graphics without leaving PROC IML by using the

Data Visualization
Sanjay Matange 0
Swimmer plot

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

Analytics
Erin Robbins 0
Pay nothing, gain everything: SAS introduces no-cost software for higher education

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

Students & Educators
Nadja Young 0
South Carolina teacher evaluation system supporting professional growth

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

Data Visualization
Sanjay Matange 0
Grouped Timeline

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

Data Management
Jose Etchegoyen 0
Series: BCBS 239 – Principle 11

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

SAS Administrators
Margaret Crevar 0
To grid or not to grid?

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

Learn SAS
Maggie Miller 0
Write a SAS book

As SAS software continues to develop, the demand for information grows. That’s why there’s a big recruitment effort underway at SAS Books to get experts to share their best practices on using SAS. Recruiter Shelley Sessoms attended the Analytics 2014 conference in Frankfurt, Germany last week to find new writers.

Rick Wicklin 0
How to find an initial guess for an optimization

Nonlinear optimization routines enable you to find the values of variables that optimize an objective function of those variables. When you use a numerical optimization routine, you need to provide an initial guess, often called a "starting point" for the algorithm. Optimization routines iteratively improve the initial guess in an

1 233 234 235 236 237 326