The course aims to provide students with adequate theoretical background and mathematical tools to access the literature on biostatistics methodologies and applications. Topics covered include: stochastic convergence; delta method; moment estimator; M- and Z- estimators; Bayes procedures; likelihood ratio tests; chi-square tests; Bayesian/MCMC methods; EM algorithm. Selected topics such as empirical likelihood, U-statistics, counting process methods in survival analysis, functional data analysis, nonparametric estimation, shape-constrained inference, and semiparametric inference and efficiency will also be included.

Continuous Assessment: 50%

Examination: 50%

Examination Duration: 3 hours