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Below, you will find a collection of articles, press releases and technical papers representing the company, our passions, and our people. 

Managing and Monitoring Statistical Models

Managing and monitoring statistical models can present formidable challenges when you have multiple models used by a team of analysts over time. How can you efficiently ensure that you’re always getting the best results from your models? In this paper, we’ll first…
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Visualizing Your Data When There is Too Much of It to Visualize

In many of the SAS Institute publications about the new ODS statistical graphics, there is an introductory statement that defines an “effective” graph as one that reveals “patterns, differences and uncertainty that are not readily apparent in tabular output” (Kuhfeld, 2010; Rodriguez,…
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Managing and Monitoring Statistical Models

Managing and monitoring statistical models can present formidable challenges when you have multiple models used by a team of analysts over time. How can you efficiently ensure that you’re always getting the best results from your models? In this paper, we’ll first…
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An Introduction to the Analysis of Rare Events

Analyzing rare events like disease incidents, natural disasters, or component failures requires specialized statistical techniques since common methods like linear regression (PROC REG) are inappropriate. In this paper, we’ll first explain what it means to use a statistical model, then explain why…
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Graphing a Progression of Time Series Plots

Graphing is an essential step for exploratory data analysis and statistical modeling. However, when graphing an ordered progression of time series plots, it can be difficult to effectively display the progression without looking disorganized and chaotic. This paper shows a couple of…
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Getting Correct Results in Linear Regression

SAS® ’s implementation of linear regression is often used to fit a line without checking the underlying assumptions of the model or understanding the output. As a result, we can sometimes fit a line that is not appropriate for the data and…
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