Category: Causal Inferance

Causal inference is important in healthcare observational studies because it allows researchers to determine whether a particular treatment or intervention has a causal effect on health outcomes. In healthcare, observational studies are often conducted when it is not possible or

Causal inference is important in healthcare because it allows researchers, healthcare providers, and policymakers to understand the causal relationships between different factors and health outcomes. This is critical for developing effective interventions, improving patient outcomes, and optimizing healthcare resource allocation.