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SUMMARY:BSU Seminar: &quot\;Using Joint Models for Longitudinal and Time-t
 o-Event Data to Investigate the Causal Effect of Salvage Therapy after Pro
 statectomy&quot\; - Dimitris Rizopoulos\, Professor of Biostatistics\, Era
 smus Medical Center Rotterdam
DTSTART:20240312T120000Z
DTEND:20240312T130000Z
UID:TALK209776@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:Prostate cancer patients who undergo prostatectomy are closely
  monitored for recurrence and metastasis using routine prostate-specific a
 ntigen (PSA) measurements. When PSA levels rise\, salvage therapies are re
 commended to decrease the risk of metastasis. However\, due to the side ef
 fects of these therapies and to avoid over-treatment\, it is important to 
 understand which patients and when to initiate these salvage therapies. In
  this work\, we use the University of Michigan Prostatectomy registry Data
  to tackle this question. Due to the observational nature of this data\, w
 e face the challenge that PSA is simultaneously a time-varying confounder 
 and an intermediate variable for salvage therapy. We define different caus
 al salvage therapy effects defined conditionally on different specificatio
 ns of the longitudinal PSA history. We then illustrate how these effects c
 an be estimated using the framework of joint models for longitudinal and t
 ime-to-event data. All proposed methodology is implemented in the freely a
 vailable R package JMbayes2.
LOCATION:Online Seminar
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