Biostatistics Journal Club: Causal Inference in Environmental Health

The field of environmental health has been dominated by modeling associations, especially by regressing an observed outcome on a linear or nonlinear function of observed covariates. Readers interested in advances in policies for improving environmental health are, however, expecting to be informed about health effects resulting from, or more explicitly caused by, environmental exposures.

In this talk, Marie-Abèle Bind, PhD, Massachusetts General Hospital,  will discuss how the quantification of health impacts resulting from the removal of environmental exposures involves causal statements. Therefore, when possible, causal inference frameworks should be considered for analyzing the effects of environmental exposures on health outcomes.

Required Reading:

Bridging Observational Studies and Randomized Experiments by Embedding the Former in the Latter

Speaker:

Marie-Abèle Bind, PhD, Massachusetts General Hospital Biostatistics