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CALSCALE:GREGORIAN
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PRODID:-//enroll.tku.edu.tw//iCalendar Event//ZH-TW
VERSION:2.0
X-WR-CALNAME:淡江大學活動報名系統
BEGIN:VTIMEZONE
TZID:Asia/Taipei
X-LIC-LOCATION:Asia/Taipei
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:數學系演講公告-On counterfactual hazard\n活動報名連結：\nhttps://enroll.tku.
 edu.tw/course.aspx?cid=tsmx0411\n活動地點：科學館 S433室\n主講人：黃彥棕博士 (中央研究院統計科學研究所研
 究員)\n\n摘要Abstract: \n\nHazard plays a critical role in survival analyses 
 ranging from model specification\, statistical inference to application. 
 However\, limitations of its causal interpretation have also been well re
 cognized. We attempt to tackle the challenging issue by proposing three d
 efinitions of counterfactual hazard using conditioning counterfactual sur
 vival time (cCT)\, conditioning counterfactual process (cCP) and interven
 tional counterfactual process (iCP). In the average treatment effect sett
 ing\, the identification formulas of the three definitions coincide under
  their respective assumptions. We further extend the three counterfactual
  hazards to a mediation setting with a mediator measured during the follo
 w-up where the mediator has two components: time to measurement and the m
 easured value of the medaitor. The cCT may have difficulties in identific
 ation\; the cCP suffers from a built-in selection bias due to its definit
 ion as a conditional probability. In contrast\, the iCP can identify the 
 effect mediated by the status regarding the measurement of the mediator\,
  the effect mediated by the measured value of the mediator\, and the effe
 ct not mediated by the mediator (either its measurement status or actual 
 value). Under the iCP\, we propose nonparametric and semiparametric estim
 ators and establish their uniform consistency and weak convergence. Numer
 ical simulation is conducted to assess its finite sample performance. We 
 apply our proposed methods to two studies\, investigating the effect of h
 epatitis B on mortality mediated by the incidence of liver cancer\, and t
 he effect of hepatitis C on liver cancer incidence mediated by time to me
 asurement and the actual value of hepatitis B viral load.\n報名期間：2022-04-1
 1 16:00:00~2022-04-18 17:00:00
DTEND:20220419T160000
DTSTAMP:20260307T211800Z
DTSTART:20220419T141000
ORGANIZER;CN=淡江大學活動報名系統 iCalendar:mailto:no-reply@mail.tku.edu.tw
SEQUENCE:0
SUMMARY:數學系演講公告-On counterfactual hazard
UID:actidtsmx0411
BEGIN:VALARM
ACTION:DISPLAY
SUMMARY:活動準備開始：數學系演講公告-On counterfactual hazard
TRIGGER:-PT30M
END:VALARM
END:VEVENT
BEGIN:VEVENT
DESCRIPTION:數學系演講公告-On counterfactual hazard\n活動報名連結：\nhttps://enroll.tku.
 edu.tw/course.aspx?cid=tsmx0411\n活動地點：科學館 S433室\n主講人：黃彥棕博士 (中央研究院統計科學研究所研
 究員)\n\n摘要Abstract: \n\nHazard plays a critical role in survival analyses 
 ranging from model specification\, statistical inference to application. 
 However\, limitations of its causal interpretation have also been well re
 cognized. We attempt to tackle the challenging issue by proposing three d
 efinitions of counterfactual hazard using conditioning counterfactual sur
 vival time (cCT)\, conditioning counterfactual process (cCP) and interven
 tional counterfactual process (iCP). In the average treatment effect sett
 ing\, the identification formulas of the three definitions coincide under
  their respective assumptions. We further extend the three counterfactual
  hazards to a mediation setting with a mediator measured during the follo
 w-up where the mediator has two components: time to measurement and the m
 easured value of the medaitor. The cCT may have difficulties in identific
 ation\; the cCP suffers from a built-in selection bias due to its definit
 ion as a conditional probability. In contrast\, the iCP can identify the 
 effect mediated by the status regarding the measurement of the mediator\,
  the effect mediated by the measured value of the mediator\, and the effe
 ct not mediated by the mediator (either its measurement status or actual 
 value). Under the iCP\, we propose nonparametric and semiparametric estim
 ators and establish their uniform consistency and weak convergence. Numer
 ical simulation is conducted to assess its finite sample performance. We 
 apply our proposed methods to two studies\, investigating the effect of h
 epatitis B on mortality mediated by the incidence of liver cancer\, and t
 he effect of hepatitis C on liver cancer incidence mediated by time to me
 asurement and the actual value of hepatitis B viral load.\n報名期間：2022-04-1
 1 16:00:00~2022-04-18 17:00:00
DTEND:20220411T160000
DTSTAMP:20260307T211800Z
DTSTART:20220411T160000
LOCATION:https://enroll.tku.edu.tw/course.aspx?cid=tsmx0411
ORGANIZER;CN=淡江大學活動報名系統 iCalendar:mailto:no-reply@mail.tku.edu.tw
SEQUENCE:0
SUMMARY:活動開始報名：數學系演講公告-On counterfactual hazard；期間為 2022-04-11 16:00:00 ~ 
 2022-04-18 17:00:00
UID:signupidtsmx0411
BEGIN:VALARM
ACTION:DISPLAY
SUMMARY:開始報名：數學系演講公告-On counterfactual hazard
TRIGGER:-PT30M
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END:VCALENDAR