Handbook

This course is offered in two modes: either face to face (on-campus) and fully online.

At the end of this course students will be able to apply advanced biostatistical methods to their public health and clinical research and gain the required statistical skills to write a journal article or a scientific report. In particular, students will be able to correctly select the appropriate statistical analytical method to address specific research questions, conduct the analysis using statistical software, present and interpret the results appropriately and draw valid and insightful conclusions. The broad topics that will be covered in this course include: one-way analysis of variance, simple and multiple linear regression analysis, model building strategies in regression analysis to adjust for confounding and dealing with effect modification; logistic regression analysis for binary outcome data, regression analysis for count data (Poisson and Negative binomial regression), and analysis of time to event data. The learning method will include formal lectures on the topics, hands-on problem solving tutorials and computer laboratory sessions to demonstrate the use of statistical software.