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DTSTAMP:20250703T071717Z
DESCRIPTION:Alexandra M. Schmidt\, PhD\n	Professor of Statistics – Departmen
 t of Statistical Methods\, Mathematics Institute\,\n	Federal University of 
 Rio de Janeiro\, Brazil\n\nHierarchical dynamic models for time series of 
 highly structured biomedical signals\n\nALL ARE WELCOME\n\nAbstract:\n\nTh
 is talk considers the modelling of a set of temporally correlated signals 
 with multilevel structure. The study is motivated by Raynaud’s phenomenon 
 (RP) which results from blood vessel spasm. Individuals in the study belon
 g to one of three groups\, two groups showing different forms of RP and a 
 control group. For each individual multiple time series were generated thr
 ough thermal infrared imaging. These signals represent the temperature of 
 10 fingertips across time and document the thermal recovery of an individu
 al from a standardized cold stress. To investigate the recovery temperatur
 e profiles of individuals from different groups\, we propose a hierarchica
 l dynamic model with an exponential growth component. For each group\, the
  model provides estimates of the mean temperatures across time and of the 
 increase in mean temperatures after the cold stress. These estimates allow
  us to learn how the temperature recovery differs among groups and how cor
 related the temperatures among fingers are in different groups. Inference 
 is performed under the Bayesian paradigm\, which naturally accounts for un
 certainty about parameter estimates. Though motivated by the RP study\, th
 e proposed methodology is generally applicable to more general hierarchica
 l time-varying outcomes and can accommodate different temporal structures.
 \n\nBio:\n\nAlexandra M. Schmidt is a Professor of Statistics of the Feder
 al University of Rio de Janeiro (UFRJ)\, Brazil. Her main areas of researc
 h are spatial statistics\, spatio-temporal modeling\, dynamic linear model
 s\, and hierarchical models. Her projects in these areas usually follow th
 e Bayesian paradigm to perform inference. She completed her doctoral train
 ing at the University of Sheffield in 2001\, under the supervision of Prof
 essor Anthony O’Hagan\, worked for one year as a post-doctoral fellow with
  Professor Alan Gelfand at the University of Connecticut\, and has been wo
 rking at the Department of Statistical Methods\, UFRJ\, since 2002. She ha
 s published 29 papers in peer-reviewed journals\, including JRSS Series B\
 , JRSS Series C\, Annals of Applied Statistics\, Canadian Journal of Stati
 stics\, Technometrics\, Environmetrics\, and Test\, and has supervised or 
 co-supervised 9 Ph.D. and 14 M.Sc. students. In 2008 she was awarded with 
 the Abdel El-Shaarawi Young Investigator Award of The International Enviro
 nmetrics Society (TIES). She is the current President of the International
  Society for Bayesian Analysis (ISBA)\, and serves as Associate Editor of 
 the Scandinavian Journal of Statistics (2012-)\, Environmetrics (2010-)\, 
 and Stat (2011-). Please visit www.dme.ufrj.br/~alex/ for more details.\n
DTSTART:20151201T203000Z
DTEND:20151201T213000Z
LOCATION:Room 24\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue
  des Pins Ouest
SUMMARY:Biostatistics Seminar
URL:/epi-biostat-occh/channels/event/biostatistics-sem
 inar-256593
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