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UID:20250908T204937EDT-3345177avx@132.216.98.100
DTSTAMP:20250909T004937Z
DESCRIPTION:   Abstract:   Response shift\, a change in the meaning of an i
 ndividual’s self-evaluation of a health measure\, is known to be a potenti
 al source of bias in longitudinal analyses of health-related quality of li
 fe (HRQOL) data and other patient-reported outcomes. This presentation wil
 l examine different methods to test for response shift\, including a new m
 ethod based on measures of the change in the relative importance of HRQOL 
 domains over time. As well\, some recent developments in the use of latent
  variable scoring methods to adjust for the effects of response shift will
  be explored.   Bio:   Lisa Lix is Professor and Manitoba Research Chair i
 n the Department of Community Health Sciences\, University of Manitoba. Pr
 ior to returning to Manitoba in September 2012\, she was Centennial Resear
 ch Chair in the School of Public Health at the University of Saskatchewan.
  In Saskatchewan she led the development of new MSc and PhD programs in bi
 ostatistics\, served as Site Director of the Western Regional Training Cen
 tre (WRTC) in Health Services Research\, and established the Population He
 alth Data Laboratory. Her research interests include health services resea
 rch methodology\, quality of administrative health databases\, the analysi
 s of repeated measures and longitudinal data\, and robust statistical meth
 ods for the analysis patient-reported outcomes. Lisa has served on the Boa
 rd of the Statistical Society of Canada in a variety of different capaciti
 es since 2005 and was President of the Biostatistics Section in 2010.   
DTSTART:20121113T203000Z
DTEND:20121113T213000Z
LOCATION:Room 25\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue
  des Pins Ouest
SUMMARY:Dr. Lisa Lix - Response Shift Methods for Longitudinal Patient-Repo
 rted Outcomes  
URL:/epi-biostat-occh/channels/event/dr-lisa-lix-respo
 nse-shift-methods-longitudinal-patient-reported-outcomes-218886
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