Call for Papers Web Application and FAQs

Section Descriptions

Applications Development: (co-chaired by David Jemiolo and Lisa McQuay) presents programs, systems, utilities, and/or any productivity tool developed with SAS® software, plus an overview of the code and techniques used in the development process.

Coder's Corner: (co-chaired by Cindy Song and Jim Edgington) presents creative SAS® programming ideas and code used to develop program efficiency techniques, productivity tools, complex error solutions, useful applicable algorithms, coding tips, and undocumented features.

Data Management: (co-chaired by David Izard and Cecilia Mauldin) provides an in-depth look into the many aspects of data manipulation and database management using SAS® software.

FDA Compliance - Electronic Submission & Validation: (co-chaired by Shahn Hawkins and Jim Baker) addresses the many facets of electronic regulatory submissions (NDAs, BLAs, etc.) to FDA and other regulatory agencies and validating your SAS® programs or systems.

Hands-on Workshops: (co-chaired by Daphne Ewing and Jim Johnson) offers interactive workshops presented by invited speakers. By invitation only.

Posters: (co-chaired by Brenda Bishop and David Stokar) presents a variety of SAS® related topics in poster board form rather than as a formal lecture.

Statistics & Pharmacokinetics: (co-chaired by Gajanan Bhat and Patricia Cerrito) presents innovative statistical methods, applications of statistics in clinical trials, and techniques for efficient data analysis using SAS® software.

Technical Techniques: (co-chaired by Syamala Kasichainula and Phil Mason) presents specific SAS® software techniques that can be utilized for problem solving, system development, output delivery solutions, or any other area of technical interest.

Tutorials: (co-chaired by Alfredo Rojas and Kent Letourneau) provides in-depth explanations of a wide range of topics utilizing SAS® for users at all levels of expertise with specific "how-to" tools to access, manage, analyze, and present data effectively and efficiently.