Eureka! Find Ways to Simplify Drug Discovery
According to Bio IT World, simplifying data without losing information requires advances in both software and how scientists think about data visualization.

In Sync: Research and Healthcare Standards Harmonize with CDISC
This Webcast, part of the ongoing Global Strategies for Clinical Research Information series, focuses on using CDISC standards to address information sharing and interoperability needs among academic research centers.

Can You Handle the Truth?
Learn why accurate and timely forecasts are critical for success and how they affect the entire enterprise.

Rx for Global Development
Solvay Pharmaceuticals enhances worldwide drug development efforts with SAS^®.

SAS Global Forum Executive Conference
March 16-17
San Antonio, TX
Join us in San Antonio for a unique opportunity to hear industry experts explain how the power of information and analytics can help you transform pharmaceutical sales and marketing through information and analytics – giving you the ability to understand and predict the true impact of promotional activities on sales results.

SAS OnlineTutor®: Self-Paced e-Learning for Organizations Now Available!
With SAS OnlineTutor you can install convenient and cost-effective training on individual workstations or on your network 24/7.

Analysis of Clinical Trials Using SAS®: A Practical Guide
This comprehensive guide bridges the gap between statistical methodology and real-world clinical trial applications. Topics reflect the International Conference on Harmonization (ICH) guidelines for the pharmaceutical industry and address important statistical problems encountered in clinical trials. View the Table of Contents.

Pharmaceutical Statistics Using SAS®: A Practical Guide
This new book introduces a range of data analysis problems encountered in drug development and illustrates them using case studies from actual preclinical experiments and clinical studies. SAS code for solving the problems is provided. The book also includes a discussion of methodological issues, practical advice from subject matter experts and a review of relevant regulatory guidelines. View the Table of Contents.

SAS® Programming in the Pharmaceutical Industry
Discover tools available within Base SAS (including the macro language and PROC SQL), SAS/GRAPH^®, and SAS/STAT^® that can be used to resolve common issues in working with clinical trial data, including importing addresses and massaging data into analysis data sets, producing clinical trial output and exporting data. View the Table of Contents.

Check Out Our Blog!
Join the conversation at sascom® voices.

Triple-Digit ROI
CIGNA HealthCare anticipates triple-digit returns by improving medical management practices with SAS.

Computerworld Honors Maine Medical Center
The teaching hospital is recognized for using best practices in business intelligence.

Perceived Value Critical in IT Initiatives
Now more than ever the desire for meaningful change in the healthcare industry is aligned with cost-effective and robust information technologies.

Gingrich: Providers Must Embrace Technology
The former Speaker of the US House of Representatives shares his views on how the American healthcare system must operate in the 21st century.

Opposites Attract
When it comes to marrying structured BI data with unstructured text analytics, Blue Cross Blue Shield of Tennessee says, “I do.”

A Healthier Bottom Line
The Office of the National Coordinator for Health Information Technology shows how electronic health records can reduce costs associated with inaccurate billing and potential healthcare fraud. SAS’ Rick Ingraham served on the Model Requirements Executive Team, which developed recommendations related to the effort.

Save the Date!
The fifth annual SAS Healthcare and Life Sciences Executive Conference will take place Wednesday and Thursday, April 16-17, 2008, at SAS world headquarters in Cary, NC. Stay tuned for more information!

Statistics I: Introduction to ANOVA, Regression and Logistic Regression
The Hartford Training Center in Hartford, CT, will host this course March 18-20, 2008. It is designed for SAS software users who perform statistical analyses using SAS/STAT^® software and is a prerequisite to many of the courses in the statistical analysis curriculum. The course focuses on: statistical inference, analysis of variance, multiple regression, categorical data analysis and logistic regression. You will learn to construct graphs to explore and summarize data, construct confidence intervals for means, test hypotheses, apply multiple comparison techniques in ANOVA, assess and correct collinearity in multiple regression, use diagnostic statistics to identify potential outliers in multiple regression, use chi-square statistics to detect associations among categorical variables and fit a multiple logistic regression model. View the complete outline of this course. For customers who can't attend the course in Hartford, check here for other training opportunities.

Business Knowledge Series Continues in 2008
Mark your calendars for these two courses offered during the first half of 2008: Exploratory Data Mining with Application to Life and Social Sciences and Health Care Data and the SAS System.

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