Statistics and Data Analysis
SAS® Analytics continues to be a pillar in the statistical community. Increased visibility of integrated analytic toolsets has led to applications in a vast range of business, health care and other settings. The Statistics and Data Analysis section offers an opportunity to see analytic methods with accompanying SAS programming from statisticians, economists, epidemiologists, forecasters and market researchers. Presentations in this forum will advance, educate and shape the application of statistical methods in a multidisciplinary setting using one of the many known SAS statistical procedures in SAS/STAT®, SAS/QC®, and SAS/ETS® or JMP®.
Presentations will explore traditional and innovative uses of linear and nonlinear modeling methods, and analysis that uses the most recent options available in SAS 9.2 and SAS 9.22. This section also includes topics on the effective application of competing risk models, time series forecasting and Monte Carlo simulation.
Section Chairs:
|
Jennifer Waller Georgia Health Sciences University E-mail her |
|
Rachael Biel USAA E-mail her |