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Activity Number:
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198
- SPEED: Nonparametric Statistics: Estimation, Testing, and Modeling
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2018 : 11:35 AM to 12:20 PM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract #332949
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Title:
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Statistical Methods for the Analysis of Ventilator-Free Days
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Author(s):
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Charity Morgan*
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Companies:
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Keywords:
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Nonparametric;
Zero-inflation;
Composite endpoints
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Abstract:
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The number of ventilator-free days (VFDs) is a common endpoint for clinical trials assessing lung injury or acute respiratory distress syndrome. A patient's VFD is defined as the total number of days the patient is both alive and free of mechanical ventilation; patients who die during observation are assigned a VFD of zero. Despite usually being both truncated and zero-inflated, VFDs are often analyzed using statistical methods that assume normally distributed data. While more sophisticated data analytic approaches, such as nonparametric and competing risk analyses, have been proposed, their use is not yet widespread in the critical care literature and their applicability to this endpoint remains the source of debate. We review the existing critical care literature and compare these methods via simulations and real data examples.
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Authors who are presenting talks have a * after their name.
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