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Activity Number:
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320
- Methods Tailored to Unique Data and Trial Features
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Section on Medical Devices and Diagnostics
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Abstract #312357
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Title:
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Median Regression Models for Clustered, Interval-Censored Survival Data: An Application to Prostate Surgery Study
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Author(s):
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Piyali Basak* and Stuart Lipsitz and Debajyoti Sinha
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Companies:
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Florida State University and Brigham and Women's Hospital and Florida State University
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Keywords:
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Clustered;
Interval-censored;
Median regression;
Survival data
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Abstract:
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Genitourinary surgeons and oncologists are particularly interested in whether a robotic surgery improves times to Prostate Specific Antigen (PSA) recurrence compared to non-robotic surgery for removing the cancerous prostate. Time to PSA recurrences is an example of survival time that is typically interval-censored between two consecutive clinical inspections. In addition, success of medical devices and technologies often depends on factors such as experience and skill level of the medical service providers, thus leading to clustering of these survival times. We present three novel methods for median regression of clustered interval-censored survival data. We provide Frequentist and Bayesian analysis for these competing models and illustrate their practical uses via analysis of the motivating post-surgery PSA recurrence study.
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Authors who are presenting talks have a * after their name.
