This event is in the past.It took place on May 7, 2026 at West Hall.

Methods for Causal Inference in Settings with Clustered Data Subject to Missingness and Measurement Error 1
Methods for Causal Inference in Settings with Clustered Data Subject to Missingness and Measurement Error 2
Methods for Causal Inference in Settings with Clustered Data Subject to Missingness and Measurement Error 3
Methods for Causal Inference in Settings with Clustered Data Subject to Missingness and Measurement Error 4
Methods for Causal Inference in Settings with Clustered Data Subject to Missingness and Measurement Error 5
Educational Talk

Methods for Causal Inference in Settings with Clustered Data Subject to Missingness and Measurement Error

May 7 at 3pm

At West Hall

Burns Park, Ann Arbor

Dive into advanced statistical methods for messy real-world data. This dissertation defense explores new approaches to causal inference when dealing with clustered data, missing information, and measurement errors.

Academic lecture
Graduate research
Statistics methods
Data science
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