Biostatistics

Biostatistics

Precision analytics for the frontline of medicine.

  • Learning Outcomes:

    • Design statistically sound clinical trials that meet international regulatory standards.

    • Analyze longitudinal data to track disease progression over time.

    • Interpret survival rates and hazard ratios for medical research publications.

  • Theoretical Core Topics:

    • Epidemiological Metrics: Sensitivity, specificity, and Positive Predictive Value (PPV).

    • Survival Analysis Theories: The logic behind the Cox Proportional Hazards Model.

    • Experimental Design: Blocking, randomization, and controlling for confounding variables.

  • Interactive Activities:

    • Outbreak Simulation: A gamified module where students must use "patient zero" data to calculate the $R_0$ (reproduction number) of a simulated virus.

    • The Ethics Audit: A peer-review workshop where students critique a historical (real) medical study to find statistical biases or ethical flaws.