"Cancer Immunotherapy Trial Design with De layed Treatment Effect and Long-Term Survivors"
Cancer immunotherapy trials have two special features: delayed treatment effect and long-term su rvivors. Both features violate the proportional hazards (PH) assumption and ignoring either one of the two features in an immunotherapy trial design w ill result in substantial loss of statistical power. To design immunotherap y trials with long-term survivors\, we propose a change sign weighted log-r ank test. To design immunotherapy trials with delayed treatment effect\, we propose a robust test statistic. A general sample size formula is derived for the weighted long-rank test. The sample size formula is applied to the long-term survivor model and delayed treatment effect model. Simulation stu dies are conducted to compare the accuracy and efficiency between the propo sed designs and traditional designs.
CATEGORIES:Invited External Speakers,Seminars / Lectures LOCATION:Doll &\; Hill Teaching Room in the Taylor Avenue Building GEO:38.634726;-90.259032 ORGANIZER;CN="Kelly":MAILTO:kloman@wustl.edu URL;VALUE=URI:https://calendar.med.wustl.edu/calendar/event/epidemiology-an d-clinical-outcomes-research-seminar-series-12/ ATTACH;FMTTYPE=image/jpeg:https://calendar.med.wustl.edu/app/uploads/2020/02/Jianrong-Wu-flyer.jpg END:VEVENT BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT TZOFFSETFROM:-0600 TZOFFSETTO:-0500 DTSTART:20200308T080000 TZNAME:CDT END:DAYLIGHT END:VTIMEZONE END:VCALENDAR