Statistical Aids for Management Decisions in Drug Research and Development
Duration: 1 half-day session CEU: 0.3
Presented by David Salsburg, Ph.D., retired, formerly senior research fellow at Pfizer Central Research; author of The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century
This lecture combines Dr. Salsburg's 30 years of experience in the drug industry with the insights or recent pyschological studies and current developments in Bayesian statistics to present statistical techniques that can aid decision makers.
Learn how to
- recognize that a project has reached the stage where a decision to continue or stop must be made
- identify when data is too limited for formal statistical significance testing
- use statistical methods that can clarify and aid in decisions even when uncertainty is great.
Who should attend
Designed for anyone who is involved in deciding whether to advance or drop a research project in the face of limited informationCourse Materials
Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials, including the exercise files. Students need to download and print the course materials prior to class.System Requirements
For Live Web, you must- review and meet the general system requirements.