BIRS Workshop Lecture Videos

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BIRS Workshop Lecture Videos

New Measurement Error Data Structures Carroll, Raymond


This is a survey overview on some relatively recent measurement error data structures, and brief discussions of how might one analyze them. Problems include (a) mixtures of continuous and discrete variables both subject to error; (b) problems in which the target covariate varies over time and is measured with error; (c) classical additive and Berkson multiplicative errors in radiation exposure doses; (d) Calibration and seasonal adjustment for matched case-control studies; (e) Spatial regression with covariate measurement error; (f) using functional data analysis to assess measurement error in energy intake; (g) deconvolution with heteroscedastic measurement error.

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