BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20251028T071157EDT-9988xeVvF4@132.216.98.100 DTSTAMP:20251028T111157Z DESCRIPTION:Ruth Sapir-Pichhadze\, MD\, MSc\, PhD\, FRCPC\n\nAssistant Prof essor of Medicine\, Division of Nephrology and Multi-Organ Transplant Prog ram\, Department of Medicine\, ǾƷ and Nephrologist\, Royal Victoria Hospital\n\nSurvival analysis in the presence of competing risks: the example of wait-listed kidney transplant candidates\n\nALL ARE WELCOM E\n\nSYNOPSIS:\n\nCompeting events\, which preclude the observation of an event of interest or alter the probability of the event’s occurrence\, are commonly encountered in transplant outcomes research. In analysis of time -to-event data\, competing events may be censored or incorporated into com posite endpoints. However\, the presence of competing events violates the assumption of “independent censoring” which is the basis of standard survi val analysis. The use of composite endpoints disregards the possibility th at competing events may be related to the exposure in a way that is differ ent from the other components of the composite. Using data from the Scient ific Registry of Transplant Recipients\, we will compare the risk of morta lity in sensitized (vs. non-sensitized) wait-listed kidney transplant cand idates when using standard survival analysis models versus subdistribution hazards models (which account for competing risks).\n\nOBJECTIVES:\n\n\n T o review the principles of competing risk analysis\n To outline approaches for analyzing data with competing events (cause-specific hazard and subdis tribution hazards models)\n To discuss the appropriate settings in which ea ch of the two approaches could be used and contrast their interpretation. \n\n\nBIO:\n\nDr. Ruth Sapir-Pichhadze is a clinician scientist and a tran splant nephrologist at ǾƷ Health Centre. She completed trai ning in General Internal Medicine\, Nephrology\, and Kidney Transplantatio n at the University of Toronto. Thereafter\, she enrolled in the Eliot Phi llipson Clinician Scientist Training Program and received a PhD in Clinica l Epidemiology and Health Care Research at the Institute of Health Policy\ , Management and Evaluation at the University of Toronto. Dr. Sapir-Pichha dze's research focuses on the application of personalized medicine strateg ies for the prevention of immune-mediated injuries. Specifically\, she is interested in identifying genetic determinants of donor and recipient comp atibility in an effort to optimize organ allocation schemes\, inform perso nalized surveillance schedules\, and establish individually tailored thera peutic regimens in kidney transplant candidates and recipients. In recogni tion of her efforts\, Dr. Sapir-Pichhadze has been recently awarded the pr estigious KRESCENT-CIHR New Investigator Award.\n\nwww.mcgill.ca/epi-biost at-occh/news-events/seminars/epidemiology\n DTSTART:20160215T210000Z DTEND:20160215T220000Z LOCATION:Room 521\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1Y 6\, 3655 promenade Sir William Osler SUMMARY:Epidemiology Seminar URL:/epi-biostat-occh/channels/event/epidemiology-semi nar-258353 END:VEVENT END:VCALENDAR