BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250712T232515EDT-7943iFIPcl@132.216.98.100 DTSTAMP:20250713T032515Z DESCRIPTION:\n \n \n \n Statistical analysis of two-level hierarchical clustere d data\n\n Multi-level hierarchical clustered data are commonly seen in fin ancial and biostatistics applications. In this talk\, we introduce several modeling strategies for describing the dependent relationships for member s within a cluster or between different clusters (in the same or different levels). In particular we will apply the hierarchical Kendall copula\, fi rst proposed by Brechmann (2014)\, to model two-level hierarchical cluster ed survival data. This approach provides a clever way of dimension reducti on in modeling complicated multivariate data. Based on the model assumptio ns\, we propose statistical inference methods\, including parameter estima tion and a goodness-of-fit test\, suitable for handling censored data. Sim ulation and data analysis results are also presented.\n \n \n \n\n\n \n DTSTART:20161021T193000Z DTEND:20161021T203000Z LOCATION:room 1205\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue Sherbrooke Ouest SUMMARY:Chien-Lin Su\, PhD Postdoc Fellow\, ºÃÉ«TV URL:/mathstat/channels/event/chien-lin-su-phd-postdoc- fellow-mcgill-university-263539 END:VEVENT END:VCALENDAR