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UID:20250714T203801EDT-4950OhH1r6@132.216.98.100
DTSTAMP:20250715T003801Z
DESCRIPTION:Title: Non-Parametric Estimation of the Distribution of Episodi
 cally Consumed Food Measured with Error\n\nAbstract: In national surveys\,
  dietary data are typically collected to estimate the distribution of the 
 usual intake of various nutrients and food groups in populations and subpo
 pulations. In this context\, dietary intakes are often assessed using self
 -report instruments that allow capturing food and nutrient intakes for a s
 ingle day only. Since this snapshot cannot accurately reflect the usual in
 take\, it has long been recognized that such observations are versions of 
 long-term average intakes contaminated by measurement errors. When the foo
 d/nutrient is consumed daily\, a vast literature on measurement errors sho
 ws how to estimate the distribution of the individuals’ usual intake. Howe
 ver\, the classical methods cannot be used when considering the usual inta
 ke of episodically consumed food (e.g.\, fish or whole fruits) because in 
 that case a significant proportion of reported intake is equal to zero. In
  this presentation\, we address this problem by using a non-parametric app
 roach.\n
DTSTART:20191113T203000Z
DTEND:20191113T213000Z
LOCATION:Room 24\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue
  des Pins Ouest
SUMMARY:Félix Camirand Lemyre\, PhD\, University of Sherbrooke
URL:/mathstat/channels/event/felix-camirand-lemyre-phd
 -university-sherbrooke-302425
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