BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20250915T151645EDT-0376lvMCTh@132.216.98.100
DTSTAMP:20250915T191645Z
DESCRIPTION:Adjusting for Processing and Measurement Error in Regression wi
 th Exposure Levels Assessed on Pooled Biospecimens.\n\nRobert Lyles is a P
 rofessor in the Department of Biostatistics and Bioinformatics at the Roll
 ins School of Public Health of Emory University\, in Atlanta\, GA. His int
 erests are in statistical methods primarily motivated by epidemiologic stu
 dies. He is currently Director of a Biostatistical Core for the Emory Cent
 er for AIDS Research\, and part of an Analysis Working Group for a study s
 eeking to better understand causes of childhood mortality in developing co
 untries.\n\n	When laboratory assay costs are high\, potential benefits asso
 ciated with the pooling of biological specimens motivate statistical consi
 derations to facilitate regression analysis involving group-level exposure
  measurements. However\, the pooling of samples can introduce errors in me
 asurement due to processing\, possibly in addition to errors that may be p
 resent when the assay is applied to individual samples. We look into metho
 ds that might be applied to address this type of measurement error problem
  in common regression settings. As suggested by prior research addressing 
 overall mean and variance estimation\, hybrid designs consisting of indivi
 dual as well as pooled samples facilitate the estimation of processing (or
  pooling) error\, while further variation in pool sizes may be called for 
 to identify a potential underlying measurement error variance. For continu
 ous outcomes\, one can consider maximum likelihood (ML) or approaches base
 d on regression calibration in conjunction with ordinary or weighted least
  squares under hybrid designs. For binary outcomes\, we assess the potenti
 al applicability of discriminant function analysis as an alternative to ML
  or approximate ML based on logistic regression. We summarize some simulat
 ion results based on these methods\, and consider an example involving ind
 ividual and pooled laboratory assays to assess cytokine levels in a substu
 dy of the Collaborative Perinatal Project.\n
DTSTART:20171010T193000Z
DTEND:20171010T203000Z
LOCATION:Room 521\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1Y
 6\, 3655 promenade Sir William Osler
SUMMARY:Robert Lyles\, PhD\, Emory Unibersity
URL:/mathstat/channels/event/robert-lyles-phd-emory-un
 ibersity-272980
END:VEVENT
END:VCALENDAR