This specialized postgraduate program offers a deep dive into biostatistical theory and its vital role in modern medicine. Students will develop advanced skills in sample size calculation, hypothesis testing, and ANOVA/regression modeling. By mastering survival analysis (Kaplan-Meier/Cox) and Bayesian methods, graduates are prepared to lead data-driven decision-making in biostatistician roles worldwide.
Theoretical Foundations
Comprehensive training in sample size calculation and rigorous hypothesis testing for clinical validation.
Advanced Modeling
Application of ANOVA and regression models to interpret complex biological data and trends.
Survival Analytics
Expertise in Kaplan-Meier and Cox proportional hazards models for longitudinal clinical study analysis.
Bayesian Inference
Incorporating prior probabilities into statistical frameworks for modern healthcare research.
In collaboration with IBM
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