Sensitivity Analyses to Assess Non-Ignorability of Missing Data in Confirmatory Clinical Trials
View Presentation *Jose Pinheiro, Novartis Pharmaceuticals *Jie Zhang, Novartis Keywords: missing data, non-ignorable When undertaking confirmatory, possibly model-based analyses of data from clinical trials, statisticians frequently are confronted with having to assess and address potential biases introduced by missing data. New developments for handling missing data have proliferated in the literature. Sensitivity analysis, which allows the assessment of the impact of a wide range of non-ignorable missing patterns on the robustness of the statistical results, provides a unique and powerful alternative for analyzing missing data. An example utilizing sensitivity analysis in a large fracture trial will be described briefly. The practical issues associated with the application of sensitivity analysis will be discussed thereafter.
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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
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September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC