Online Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 320 - Methods Tailored to Unique Data and Trial Features
Type: Contributed
Date/Time: Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
Sponsor: Section on Medical Devices and Diagnostics
Abstract #312357
Title: Median Regression Models for Clustered, Interval-Censored Survival Data: An Application to Prostate Surgery Study
Author(s): Piyali Basak* and Stuart Lipsitz and Debajyoti Sinha
Companies: Florida State University and Brigham and Women's Hospital and Florida State University
Keywords: Clustered; Interval-censored; Median regression; Survival data

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.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2020 program