Best Practices in SAS Statistical Programming for Regulatory Submission
From sasCommunity
Best Practices in SAS Statistical Programming for Regulatory Submission Media: Brochure_SAS_Statistical_Programming.pdf
Looking to get into the pharmaceutical or medical device industry?
Looking for more effective methods to validate and create tables, lists and graphs?
These courses are intended for anyone directly or indirectly responsible for the creation, content or validation of summary tables, data lists and graphs used to support research, drug or medical device efficacy and safety in a regulatory submission. Professionals in the pharmaceutical, biotechnology and medical device industries who want to be 21 CFR Part 11 compliant with effective and practical solutions to address real-world issues will benefit from these unique courses.
Preparing SAS Programmers for the Pharmaceutical Industry (An Introduction)
SAS Global Forum 2010, Pre-conference class [1]
New: Practice Makes Perfect: Training and Performing in the Pharmaceutical Industry, SAS Global Forum, March 2009
[2]
Now available on demand, anytime:
- "Best Practices in SAS Statistical Programming for Regulatory Submission: Understanding and Applying the QC Plan to Validate Summary Tables" [3]
- "Best Practices in SAS Statistical Programming for Regulatory Submission: Creating Publication-Quality Summary Tables" [4]
- "Effective Clinical Data Acceptance Testing" [5]
These courses are offered through The Center for Professional Advancement, an organization which is CEU accredited.
Contents |
Industry Related Article
Practice Makes Perfect: Making the Most of Training for Statistical Programmers, European Pharmaceutical Contractor Magazine, March 2008, Media: Practice_Makes_Perfect.pdf
Class Student Quotes
Best Practices in SAS Statistical Programming for Regulatory Submission:
- "The course was very interesting and it will be of great help to understand and analyze my data and to become more productive. Your course is exactly what I was looking for, as well as, material, books etc. Thank you very much for the experience. I hope to meet you in another course."
Silvia Trevisan
Data Management & Statistics
IBSA - R&D Dept.
October 19-20, 2009 Amsterdam, The Netherlands
- "Very competent teacher, documents were very complete."
Chantel Kersten
Kinesis Pharma, The Netherlands
October 19-20, 2009 Amsterdam, The Netherlands
- "It was a pleasure taking the class you taught. The class will help me
implement new standards immediately and will aid in creating a
programming environment where planning and validation are integral in
developing submission tables and listings sufficient for regulatory
review and audits."
Craig Wesselman
Biostatistics Supervisor
Tolmar
Fort Collins, CO
March 26-27, 2009 New Brunswick, New Jersey
- "The right information I need to know; practical usages"
- "This kind of overview of the statistical programming work for FDA submission is an excellent idea. It will be helpful to many to see the entire process."
- "Liked the overview of the whole programming process"
- "Good instructor; like course content, clarity of information"
- "Your class was excellent! I found the class very helpful and upto date.",
Don Hurst, Senior Statistical Programmer, ZymoGenetics, WUSS 2007
- "This was my first WUSS and I took 3-4 training classes, I liked yours as the best!
Thank you for following up quickly with the reference material.",
Devendra Patel, Project Lead, Clinical Programming Baxter, WUSS 2007
Download Popular SAS Paper
- Clinical Data Acceptance Testing Procedure [6]
Trainer
Sunil Gupta, Sunil.Gupta@Quintiles.com
- E-mail Sunil to be included on his e-mail distribution list
More articles, books, and classes by Sunil Gupta [7].
