Applications of the Causal Roadmap to Danish registry data: case studies of the effects of second-line diabetes medications on dementia and adverse cardiac events

The Causal Roadmap is a formal framework for causal and statistical inference that supports clear specification of the causal question, interpretable and transparent statement of required causal assumptions, robust inference, and optimal precision. The Roadmap is thus particularly well-suited to eva