BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250802T185113EDT-5644B9Vscm@132.216.98.100 DTSTAMP:20250802T225113Z DESCRIPTION:Estimating the Impact of Cluster-Based Interventions: the SEARC H trial and HIV prevention in East Africa.\n\nDr. Laura Balzer is a Post-D octoral Fellow in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. She earned her PhD in Biostatistics from the Uni versity of California\, Berkeley under the guidance of Drs. Maya Petersen and Mark van der Laan. Her research is on the development of optimal desig ns and estimators for causal effects with highly dependent data. Applicati ons of this work include impact evaluation for HIV prevention and treatmen t strategies and understanding the neighborhood determinants of health. La ura is also passionate about teaching more advanced causal and statistical methods to applied audiences. Jointly with Dr. Maya Petersen\, she was aw arded the 2014 ASA’s Causality in Statistics Education Award. (More info: www.works.bepress.com/laura_balzer) \n\n\nEvaluation of cluster-based inte rventions presents significant methodological challenges. In this talk\, w e describe the design and analysis of the SEARCH trial\, an ongoing commun ity randomized trial to evaluate the impact of early HIV diagnosis and imm ediate treatment with streamlined care in rural Uganda and Kenya. We focus on 3 choices to optimize the design and analysis: pair-matching over comp lete randomization\, targeting the sample effect instead of a population a verage parameter\, and data-adaptive adjustment through a pre-specified ta rgeted maximum likelihood estimator (TMLE). These choices are compared the oretically and with finite sample simulations. We demonstrate each choice improves efficiency relative to standard practice\, while maintaining nomi nal confidence interval coverage. We conclude with practical implications and some ongoing challenges.\n DTSTART:20161006T150000Z DTEND:20161006T150000Z LOCATION:Room 24\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue des Pins Ouest SUMMARY:Laura B. Balzer\, Harvard T.H. Chan School of Public Health URL:/mathstat/channels/event/laura-b-balzer-harvard-th -chan-school-public-health-263289 END:VEVENT END:VCALENDAR