SREE 2023 Hedges LectureThe Treatment of Missing Data in Empirical Studies in EducationRoderick J. Little, Department of Biostatistics, University of MichiganThursday, September 28, 6:00pm-7:15pm ETThis year's Hedges Lecture, The Treatment of Missing Data in Empirical Studies in Education, will be presented by Roderick J. Little, Department of Biostatistics, University of Michigan on Thursday, September 28 from 6:00pm - 7:15pm ET. The lecture will cover a review of methods for handling missing data in empirical studies in education. Roderick J. Little will define missing data, provide a taxonomy of main approaches to analysis, including complete-case and available-case analysis, weighting, maximum likelihood (ML), Bayes, single and multiple imputation (MI), and augmented inverse-probability weighting (AIPW). Assumptions about the missingness mechanism are key to the performance of alternative methods; Little will define missingness mechanisms, which play a key role in the performance of methods. Approaches to robust inference, and to inference when the mechanism is potentially missing not at random, are discussed. There will also be a discussion on recent developments in the treatment of missing data in interventional studies, as evidenced by the International Council for Harmonization E9 Addendum on estimands. Hedges Lecture Reception Conference Registration
Online ProgramSchedule at a GlanceRegistration |