Hello! I'm Outgoing.I help make life more interesting.

Hello! I'm Outgoing.I help make life more interesting.

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

Upcoming at West Hall

Methods for Causal Inference in Settings with Clustered Data Subject to Missingness and Measurement Error 1

Educational Talk

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

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

Educational Talk

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

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

Burns Park

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

West Hall

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

+1 734-764-4636

events.umich.edu

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

Burns Park

Methods for Causal Inference in Settings with Clustered Data Subject to Missingness and Measurement Error 1

Educational Talk

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

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

Educational Talk

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

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

West Hall

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

+1 734-764-4636

events.umich.edu

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