This course consists of three parts: Part I consists of linear regression modeling and inferences, Part II generalized linear models and applications, and Part III advanced statistical methods. The main focus of this course is to understand the statistical methods, to learn how to undertake statistical analysis and how to interpret the results appropriately.
The course contains 2-hour lecture and 1-hour discussion section. The lecture will elaborate basic concepts and emphasize applications to public health and medicine. One-hour discussion section includes discussion of exercises, homework and results of data analysis. In the discussion section, the statistical software R is introduced and used to process data and prepare students for remaining course work in this sequence.
The basic calculus and linear algebra will be used to interpret the statistical theories and methods. Therefore, students need to have the mathematical knowledge and the ability of formula derivation.