BAY is delivered in alternate (even) years. It is offered in 2022.
Epidemiology, Mathematical Foundations for Biostatistics, Principles of Statistical Inference, Regression Modeling for Biostatistics 1
8-12 hours total study time per week
Semester 2 in year of delivery (offered in even years)
Assignments 60% (two major assignments worth 30% each) and submission of selected practical exercises 40%
Lambert B. (2018). A Student’s Guide to Bayesian Statistics. SAGE Publications Ltd (recommended - not compulsory)
Topics include simple one-parameter models with conjugate prior distributions; standard models containing two or more parameters, including specifics for the normal location-scale model; the role of noninformative prior distributions; the relationship between Bayesian methods and standard “classical” approaches to statistics, especially those based on likelihood methods; computational techniques for use in Bayesian analysis, especially the use of simulation from posterior distributions,; application of Bayesian methods for fitting hierarchical models to complex data structures.
Course notes, online mini-lecture videos, online tutorials, discussion board