A Global Sensitivity Analysis Paradigm for Analyzing Randomized Clinical Trials with Informative Loss of Follow-up
View Presentation *Daniel Oscar Scharfstein, Johns Hopkins University Keywords: Missing Data, Sensitivity Analysis Loss of follow-up in randomized trials is a pervasive problem, one which serves to jeopardize the scientific and regulatory inferences drawn from these studies. Any one analysis will rely on strong untestable assumptions and thus is inadequate for inference. FDA guidance calls for the use of sensitivity analysis to evaluate the robustness of the inferences to model assumptions. In this talk, we present a coherent, global sensitivity analysis paradigm for reporting inferences.
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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