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UID:20251109T052941EST-9211ATnVMe@132.216.98.100
DTSTAMP:20251109T102941Z
DESCRIPTION:Title: Nonparametric causal mediation in a time-to-event settin
 g.\n\nAbstract: A causal mediation model with multiple time-to-event media
 tors is exemplified by the natural course of human disease marked by seque
 ntial milestones with a time-to-event nature. For example\, from hepatitis
  B infection to death\, patients may experience intermediate events such a
 s liver cirrhosis and liver cancer. The sequential events of hepatitis\, c
 irrhosis\, cancer\, and death are susceptible to right censoring\; moreove
 r\, the latter events may preclude the former events. Casting the natural 
 course of human diseases in the framework of causal mediation modeling\, w
 e establish a model with intermediate and terminal events as the mediators
  and outcomes\, respectively. We define the interventional analog of path-
 specific effects (iPSEs) as the effect of an exposure on a terminal event 
 mediated (or not mediated) by any combination of intermediate events witho
 ut parametric models. The expression of a counting process-based counterfa
 ctual hazard is derived under the sequential ignorability assumption. We e
 mploy composite nonparametric likelihood estimation to obtain maximum like
 lihood estimators for the counterfactual hazard and iPSEs. Our proposed es
 timators achieve asymptotic unbiasedness\, uniform consistency\, and weak 
 convergence. Applying the proposed method\, we show that hepatitis B induc
 ed mortality is mostly mediated through liver cancer and/or cirrhosis wher
 eas hepatitis C induced mortality may be through extrahepatic diseases.  
 \n\n \n\nColloque des sciences mathématiques du Québec\n	Virtuel/Virtual: h
 ttps://umontreal.zoom.us/j/93983313215?pwd=clB6cUNsSjAvRmFMME1PblhkTUts...
  ID de réunion : 939 8331 3215 Code secret : 096952\n
DTSTART:20211217T203000Z
DTEND:20211217T203000Z
SUMMARY:Yen-Tsung Huang (Institute of Statistical Science\, Academia Sinica
 )
URL:/mathstat/channels/event/yen-tsung-huang-institute
 -statistical-science-academia-sinica-335394
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