Teaching

Courses currently teaching:

Biostatistics (Typically Fall and Summer)

The course objective is to introduce bio-statistical methods and its underlying principles of “how to perform” and “how to interpret” the statistical analysis in decision making of public health problems. Topics covered include methods of summarizing data, estimation, hypothesis testing techniques (including t-test, chi-square test), analysis of variance, correlation analysis, and linear regression.

Data, Results, and Visualization (Typically Spring)

This course covers the practical aspects of data analysis and data publication. The emphasis of this course is to prepare students for their own analysis and publication. Topics covered include data cleaning, data visualization (tables and figures), determining and running appropriate analyses, clear and concise writing of methods and results, and appropriate presentation of findings for different audiences (e.g., infographics, posters, oral presentations, journal articles).

Other courses I have taught

Statistical Methods in Health Research – 1

The focus of this course is on the student's ability to conduct, report, and interpret commonly used descriptive and inferential statistics for continuous and categorical outcomes such as t-tests, chi-square tests, analysis of variance and covariance, and generalized linear models.

Statistical Methods in Health Research – 2

The focus of this course is to expand the student's ability to conduct, report and interpret the results of generalized linear models and commonly used statistical procedures of data reduction and discrimination such as principal component analysis and factor analysis.