Abstract Details
Activity Number:
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577
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Type:
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Invited
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Date/Time:
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Wednesday, August 12, 2015 : 2:00 PM to 3:50 PM
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Sponsor:
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ENAR
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Abstract #314240
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View Presentation
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Title:
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Design Consideration for High Dropout Problem in Psychiatric Trials
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Author(s):
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Jinglin Zhong* and Peiling Yang and Ni A. Khin and H.M. James Hung
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Companies:
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FDA and FDA and FDA and FDA
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Keywords:
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high dropout rate ;
psychiatric trials ;
major depressive disorder ;
clinical trial design considerations
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Abstract:
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High dropout rate is a widely known problem in psychiatric trials. The average dropout rate is about 33% for Major Depressive Disorder trials and 45% for Schizophrenia trials. The high dropout rate weakens the reliability of analysis results and jeopardizes the statistical inference even if the primary analysis result is statistically significant. To address this issue, we conducted analyses to explore two design approaches based on our aggregated patient-level efficacy data from 41 randomized, double-blind, and short term clinical trials in Major Depressive Disorder. Our findings from evaluation of these two design approaches will be presented. The pros and cons of each of these approaches will also be discussed.
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Authors who are presenting talks have a * after their name.
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