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DTSTART:20231029T030000
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RDATE:20241027T030000
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UID:calendar.133449.field_date.0@www.tse-fr.eu
DTSTAMP:20260607T052540Z
CREATED:20231218T181001Z
DESCRIPTION:Ingrid Van Keilegom (KU Leuven)\, “Copula Based Cox Proportiona
 l Hazards Models for Dependent Censoring”\, MAD-Stat. Seminar\, Toulouse: 
 TSE\, May 16\, 2024\, 11:00–12:15\, room Auditorium 5.\n\nMost existing co
 pula models for dependent censoring in the literature assume that the para
 meter defining the copula is known. However\, prior knowledge on this depe
 ndence parameter is often unavailable. In this article we propose a novel 
 model under which the copula parameter does not need to be known. The mode
 l is based on a parametric copula model for the relation between the survi
 val time (T) and the censoring time (C)\, whereas the marginal distributio
 ns of T and C follow a semiparametric Cox proportional hazards model and a
  parametric model\, respectively. We show that this model is identified\, 
 and propose estimators of the nonparametric cumulative hazard and the fini
 te-dimensional parameters. It is shown that the estimators of the model pa
 rameters and the cumulative hazard function are consistent and asymptotica
 lly normal. We also investigate the performance of the proposed method usi
 ng finite-sample simulations. Finally\, we apply our model and estimation 
 procedure to a follicular cell lymphoma dataset. Supplementary materials f
 or this article are available online. (with Negera Wakgari Deresa)
DTSTART;TZID=Europe/Paris:20240516T120000
DTEND;TZID=Europe/Paris:20240516T131500
LAST-MODIFIED:20240418T001001Z
LOCATION:Toulouse: TSE\, May 16\, 2024\, 11:00–12:15\, room Auditorium 5
SUMMARY:MAD-Stat. Seminar
URL;TYPE=URI:https://www.tse-fr.eu/seminars/2024-copula-based-cox-proportio
 nal-hazards-models-dependent-censoring
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