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UID:20251122T121508EST-37736ah6UR@132.216.98.100
DTSTAMP:20251122T171508Z
DESCRIPTION:Title: Methodological considerations for the analysis of relati
 ve treatment effects in multi-drug-resistant tuberculosis from fused obser
 vational studies\n\nAbstract: Multi-drug-resistant tuberculosis (MDR-TB) i
 s defined as strains of tuberculosis that do not respond to at least the t
 wo most used anti-TB drugs. After diagnosis\, the intensive treatment phas
 e for MDR-TB involves taking several alternative antibiotics concurrently.
  The Collaborative Group for Meta-analysis of Individual Patient Data in M
 DR-TB has assembled a large\, fused dataset of over 30 observational studi
 es comparing the effectiveness of 15 antibiotics. The particular challenge
 s that we have considered in the analysis of this dataset are the large nu
 mber of potential drug regimens\, the resistance of MDR-TB strains to spec
 ific antibiotics\, and the identifiability of a generalized parameter of i
 nterest though most drugs were not observed in all studies. In this talk\,
  I describe causal inference theory and methodology that we have appropria
 ted or developed for the estimation of treatment importance and relative e
 ffectiveness of different antibiotic regimens with a particular emphasis o
 n targeted learning approaches.\n\n \n\n \n\n \n
DTSTART:20180209T203000Z
DTEND:20180209T213000Z
LOCATION:Room 1205\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Mireille Schnitzer (University of Montreal)
URL:/mathstat/channels/event/mireille-schnitzer-univer
 sity-montreal-284557
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