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Causal Inference Modeling

Meaning

Causal inference modeling represents a sophisticated statistical methodology used to determine cause-and-effect relationships between clinical interventions, hormonal fluctuations, and patient outcomes. Unlike simple correlation, this analytical approach aims to establish that a change in one variable, such as a specific hormone dose, directly results in a subsequent change in a health parameter. This is essential for moving beyond observational data to make precise, evidence-based therapeutic recommendations in endocrinology.