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SUMMARY:Frontiers in Biostatistics: Statistical Modeling and Adjustment for Sampling Biases
DESCRIPTION:Frontiers in Biostatistics Seminar\nJanuary 12\, 2021\n1:00PM \nJing Ning\, PhD\nAssociate Professor. Department of Biostatistics\nDivision of Quantitative Sciences\nThe University of Texas M.D. Anderson Cancer Center \nRegister at: https://bit.ly/FIBJan12 \nAbstract: Bias sampling mechanisms are commonly encountered in applications where the subjects in a target population are not given an equal chance to be selected\, either accidentally\, by natural circumstances\, or intentionally by design. Statistical methods not properly accounting for such a challenge often lead to invalid inferences. For example\, evidence combined from published studies may lead to overly optimistic conclusions due to publication bias\, and the well-known length bias can cause the screening to appear to be more successful than it really is. In this talk\, I will present our recent work to adjust the sampling biases in diverse applications such as the survivorship bias in prevalent cohort\, the self-reporting bias in longitudinal analysis and the publication bias in meta-analysis.
URL:https://ds.dfci.harvard.edu/event/frontiers-in-biostatistics-jing-ning/
LOCATION:MA
CATEGORIES:Seminar
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DTSTART;TZID=America/New_York:20210126T130000
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SUMMARY:Data Science Zoominar: Vaccine Prioritization Strategies
DESCRIPTION:Tuesday January 26\, 2021\n1:00PM ET \nA conversation with Daniel Larremore\nAssistant Professor\, Department of Computer Science at University of Colorado-Boulder and BioFrontiers Institute \nand \nKate Bubar\nStudent\, Department of Applied Mathematics\, University of Colorado-Boulder \nModerator: Rafael Irizarry \nRSVP at https://bit.ly/DSJan26 \nYouTube Link: https://www.youtube.com/watch?v=fJuHNNP8TLg
URL:https://ds.dfci.harvard.edu/event/data-science-zoominar-vaccine-prioritization-strategies/
LOCATION:MA
CATEGORIES:Zoominar
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