SpeakerPeng Ding is an Associate Professor in the Department of Statistics, UC Berkeley, working on causal inference. He obtained his Ph.D. from the Department of Statistics and worked as a postdoctoral researcher in the Department of Epidemiology, both at Harvard.Course DescriptionThis course will cover the following basic topics:- randomization inference in experiments: design and analysis- o...
Description:I will give four lectures based on the following papers.Gao, M. and Ding. P. (2023+). Causal inference in network experiments: regression-based analysis and design-based properties.Lu, S. and Ding, P. (2023+). Flexible sensitivity analysis for causal inference in observational studies subject to unmeasured confounding.Lu, S., Jiang, Z. and Ding, P. (2023+) Principal Stratification w...
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