BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20250505T233501EDT-07997UtmUD@132.216.98.100
DTSTAMP:20250506T033501Z
DESCRIPTION:Learning from data\n\nKaren Kopciuk\, University of Calgary\n	Tu
 esday October 22\, 12-1pm\n	McIntyre Medical Building\, room 1034\n\nAbstra
 ct: Data features can drive methodological ideas and inspiration. In this 
 talk\, I will provide an overview of three projects where data features dr
 ove the development of statistical methods that led to more learning from 
 the data. For Lynch Syndrome families\, many members experienced a second 
 cancer so estimating the age-at-onset of a subsequent cancer was carried o
 ut in a progressive multi-state model. When genes or metabolites can be na
 turally grouped\, selection of groups of variables or individual variables
  within a group is an important initial step in modelling the data. We dev
 eloped an adaptive group bridge selection method in the semiparametric acc
 elerated failure time model to address this limitation for variable select
 ion for survival outcomes. The tissue of origin plays a critical role in t
 he etiology and progression of cancer. With multiple measures of metabolit
 es from cancer patients with different cancers from the same organ system\
 , we can identify shared and unique metabolic pathways. We are developing 
 mixed models that incorporate the not missing at random assumption and a B
 ayesian prior for the random effects.\n
DTSTART:20191022T160000Z
DTEND:20191022T170000Z
LOCATION:Room 1034\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1
 Y6\, 3655 promenade Sir William Osler
SUMMARY:QLS Seminar Series - Karen Kopciuk
URL:/qls/channels/event/qls-seminar-series-karen-kopci
 uk-301470
END:VEVENT
END:VCALENDAR