BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
TZID:Europe/Paris
X-WR-TIMEZONE:Europe/Paris
BEGIN:VEVENT
UID:3161@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20191118T140000
DTEND;TZID=Europe/Paris:20191118T160000
DTSTAMP:20191103T130000Z
URL:https://www.i2m.univ-amu.fr/evenements/vivian-viallon-sparse-estimatio
 n-for-case-control-studies-with-multiple-disease-subtypes/
SUMMARY: (...): Vivian VIALLON - Sparse estimation for case-control studies
  with multiple disease subtypes
DESCRIPTION:: Vivian VIALLON (Université Pierre Bernard Lyon et IARC)The a
 nalysis of case-control studies with several disease subtypes is increasin
 gly common\, e.g. in cancer epidemiology. For matched designs\, we show th
 at a natural strategy is based on a stratified conditional logistic regres
 sion model. Then\, to account for the expected similarities among disease 
 subtypes\, we adapt the ideas of data shared lasso\, which has recently be
 en proposed for the estimation of regression models in a stratified settin
 g. For unmatched designs\, we compare two standard methods based on L1-nor
 m penalized multinomial logistic regression. We describe formal connection
 s between these two approaches\, from which practical guidance can be deri
 ved. We show that one of these approaches\, which is based on a symmetric 
 formulation of the multinomial logistic regression model\, actually reduce
 s to a data shared lasso version of the other. Consequently\, the relative
  performance of the two approaches critically depends on the level of simi
 larity that exists among the disease subtypes: more precisely\, when simil
 arity is moderate to high\, the non-symmetric formulation with controls as
  the reference is not recommended. Empirical results obtained from synthet
 ic data are presented\, which confirm the benefit of properly accounting f
 or similarity under both matched and unmatched designs. We also present pr
 eliminary results from the analysis a case-control study nested within the
  EPIC cohort\, where the objective is to identify metabolites associated w
 ith the risk of cancer subtypes.This is a joint work with Nadim Ballout an
 d Cedric Garcia.https://sites.google.com/site/vivianviallon/
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20191027T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
END:VTIMEZONE
END:VCALENDAR