Challenges and Opportunities for Causal Inference in Molecular Epidemiology
Suzanne Bevan
Jonathan Huang and Brian Whitcomb explore the complexities of causal inference in molecular epidemiology. This playlist highlights key challenges, such as confounding and measurement error, and discusses opportunities for leveraging advanced methods to improve study validity and interpretation.