Causal Inference

Causal Inference

China: Key Considerations in Using Real-World Evidence to Support Drug Development – An inferential action, often based on real-world data, that characterizes the causal relationship between interventions or exposures to clinical or health outcomes, taking into account the effects of various covariates and measured or unmeasured confounders and controlling possible biases. Appropriate statistical models and analytical methods should be used to establish the conclusions and causal relationship (as per Key Considerations in Using Real-World Evidence to Support Drug Development (Draft for Public Review) – Center for Drug Evaluation, NMPA – May, 2019)