Quasi-Experimental Causality in Biomedical Research

Apply quasi-experimental designs to strengthen causal inference in clinical studies, improving evidence quality, and do this for wider and more unified datasets (e.g., existing medical records) and across many conditions, e.g., combined with federated data approaches. Historically it has taken 5-10 years for advanced methods to percolate into relevant areas of omics / biotechnology x clinical area. It is also changing a culture of thinking — that there exists a different kind of validation that is neither 'do a perfect experiment' nor 'I tested on an external hold-out' but a third thing.