This event is in the past.It took place on June 3, 2026 at West Hall.

Upcoming at West Hall

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies 1

Educational Talk

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies 2

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies 3

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies

Educational Talk

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies 2

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies 3

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies

Burns Park

Watch cutting-edge statistical methodology take shape. This dissertation defense tackles how to draw reliable causal conclusions from messy real-world studies: think hospitals, schools, or neighborhoods where treatments get assigned in clusters. The research introduces new estimators and tests that fix problems with existing methods.

Academic lecture

Statistics research

Dissertation defense

Methodology talk

West Hall

1085 S University Ave, Ann Arbor, MI 48109, USA

+1 734-764-4636

events.umich.edu

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies

Burns Park

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies 1

Educational Talk

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies 2

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies 3

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies

Educational Talk

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies 2

Design-Based Causal Inference for Clustered Randomized Experiments and Observational Studies 3

Watch cutting-edge statistical methodology take shape. This dissertation defense tackles how to draw reliable causal conclusions from messy real-world studies: think hospitals, schools, or neighborhoods where treatments get assigned in clusters. The research introduces new estimators and tests that fix problems with existing methods.

Academic lecture

Statistics research

Dissertation defense

Methodology talk

West Hall

1085 S University Ave, Ann Arbor, MI 48109, USA

+1 734-764-4636

events.umich.edu

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