Replication, Consistency of Effect, and Control of the Overall Type 1 Error Rate
View Presentation *Steven Snapinn, Amgen/GBE Keywords: Mutiplicity, Replication, Consistency of Effect Replication is one of the main principles of the scientific method. Requiring that multiple studies each achieve statistical significance will also help control the overall type 1 error rate. In this presentation I will explore the type 1 error rate associated with a requirement that n out of m trials achieve a significant result. I will also explore the concept of consistency of effect, both within trials and between trials, and specifically the “consistency paradox.” This is the concept that a consistent treatment effect is a desirable quality of any drug, but consistency within- and between-studies actually provides evidence against the observed treatment effect being real.
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Key Dates
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April 30 - May 22, 2013
Invited Abstract Submission Open -
June 4, 2013
Online Registration Opens -
August 9 - August 23, 2013
Invited Abstract Editing -
August 23, 2013
Short Course materials due from Instructors -
August 26, 2013
Housing Deadline -
September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC