Introduces causal inference principles, identifiability assumptions, and DAGs for addressing confounding and bias in respiratory health research.
Continue readingAdvances in causal inference methods applied to real-world evidence (Part 1)
Introduces causal inference principles, identifiability assumptions, and DAGs for addressing confounding and bias in respiratory health research.
Continue reading