Clinical Trials: Is the "Standard" Analysis Misleading You?
View Presentation *Devan V Mehrotra, Merck Research Laboratories Keywords: assumptions, hidden traps, robust conclusions Randomized clinical trials are the backbone of all clinical development programs. Statistical analyses and conclusions from such trials can be unwittingly distorted by unnecessary and/or untenable assumptions, potentially elevating the sponsor and/or consumer risk. This presentation will illustrate and exemplify hidden traps in analytic assumptions associated with "standard" analyses in a variety of contemporary settings. Simple and efficient ways to strengthen the analyses by weakening or eliminating key assumptions will be demonstrated using case studies and realistic simulations. Specific topics covered will include crossover, longitudinal, dose-response, and stratified time-to-event trials.
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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