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UID:20260514T210949EDT-8151JAbcAM@132.216.98.100
DTSTAMP:20260515T010949Z
DESCRIPTION:Title: Sample Size Calculations for Precision Medicine.\n\nAbst
 ract: There has been significant attention given to developing data-driven
  methods for tailoring patient care based on individual patient characteri
 stics. Dynamic treatment regimes formalize this through a sequence of deci
 sion rules that map patient information to a suggested treatment. The data
  for estimating and evaluating treatment regimes are usually gathered thro
 ugh longitudinal observational studies or through the use of Sequential Mu
 ltiple Assignment Randomized Trials (SMARTs). These studies are typically 
 sized for simple comparisons of fixed treatment sequences or in the case o
 f observational studies sometimes not at all. We develop sample size proce
 dures for the estimation of treatment regimes that ensure we have sufficie
 nt power for comparing the value of the optimal regime with standard of ca
 re and the value of the estimated optimal treatment regime is within a set
  range of the value of the true optimal regime with a high probability.\n
 \n \n\nZoom : https://uqam.zoom.us/j/84852445299\n
DTSTART:20211028T193000Z
DTEND:20211028T203000Z
SUMMARY:Eric Rose (McGill University)
URL:https://www.mcgill.ca/mathstat/channels/event/eric-rose-mcgill-universi
 ty-334369
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