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DTSTAMP:20250729T212813Z
DESCRIPTION:Joint integrative analysis of multiple data sources with correl
 ated vector outcomes\n\nAbstract:\n\nWe consider the joint estimation of r
 egression parameters from multiple potentially heterogeneous data sources 
 with correlated vector outcomes. The primary goal of this joint integrativ
 e analysis is to estimate covariate effects on all vector outcomes through
  a marginal regression model in a statistically and computationally effici
 ent way. We present a general class of distributed estimators that can be 
 implemented in a parallelized computational scheme. Modelling\, computatio
 nal and theoretical challenges are overcome by first fitting a local model
  within each data source and then combining local results while accounting
  for correlation between data sources. This approach to distributed estima
 tion and inference is formulated using Hansen’s generalized method of mome
 nts but implemented via an asymptotically equivalent and communication-eff
 icient meta-estimator. We show both theoretically and numerically that the
  proposed method yields efficiency improvements and is computationally fas
 t. We illustrate the proposed methodology with the joint integrative analy
 sis of metabolic pathways in a large multi-cohort study.\n\n\n	Speaker\n\n
 \nDr. Emily Hector is an Assistant Professor of Statistics at North Caroli
 na State University. She obtained her PhD in Biostatistics at the Universi
 ty of Michigan under the supervision of Peter X.-K. Song.\n\nHer current m
 ethodological interests are data integration\, especially of correlated\, 
 heterogeneous\, high-dimensional data\, such as spatial data\, estimating 
 equations and the Generalized Method of Moments\, methods that leverage re
 cent computing and algorithmic developments\, with a focus on divide-and-c
 onquer\, distributed estimation and inference\, and parallel computing. He
 r current applications interests are Metabolomics\, Neuroimaging\, Wearabl
 e devices. https://www.emilyhector.com/\n\nZoom Link\n\nMeeting ID: 843 08
 65 5572\n\nPasscode: 690084\n\n \n
DTSTART:20210219T203000Z
DTEND:20210219T213000Z
SUMMARY:Emily Hector (North Carolina State University)
URL:/mathstat/channels/event/emily-hector-north-caroli
 na-state-university-328638
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