Join renowned scholar Stephen Raudenbush, on Wednesday, May 28th, for a livestream seminar on estimating causal effects in complex, multilevel settings—contexts where interventions are implemented by diverse agents such as teachers, doctors, or police across varied environments. You'll learn practical tools for analyzing data from randomized trials, observational studies, and natural experiments, while exploring innovative alternatives to conventional modeling approaches.

Raudenbush is the Lewis-Sebring Distinguished Service Professor at the University of Chicago and co-author of the landmark book Hierarchical Linear Models, which has been cited more than 35,000 times. He has received major awards in both education and sociology in recognition of his groundbreaking methodological work.

“Causal Inference for Multilevel Data” will be held via Zoom from 1pm-4pm ET, but you can also join asynchronously by viewing the recorded video.

Please share this information with anyone who may be interested. Email kaity@statisticalhorizons.com with any questions.

Thanks,
Kaity