Causal Inference in Neurological Epidemiological Studies

This exam centers on causal inference methodologies within the context of neurological epidemiological studies. The core theoretical principles will include counterfactual frameworks, propensity score matching, and mediation analysis.

Understanding causal relationships is essential for establishing effective interventions and treatment strategies for neurological disorders. Applying rigorous causal inference techniques can help minimize biases in observational studies, thus enhancing the robustness of findings.

Students will be expected to articulate key causal inference concepts and demonstrate their application in evaluating epidemiological studies focused on neurological health.

Additionally, candidates may evaluate the limitations and assumptions inherent in various causal inference methodologies as they relate to neurobiostatistical research.