This course presents statistical methods and principles necessary for understanding and interpreting data used in public health and clinical research, implementation of processes and their evaluation, and policy formation. We will study, both through formal lectures and reading of publications from the American Journal of Public Health, several statistical methods, including descriptive statistics, risk estimation, sampling, probability, hypothesis testing, confidence intervals, correlation, linear regression, and logistic regression. Students will have the opportunity to analyze actual data relevant to public health, using both Excel and R.