• Provides training in the use of statistics to comprehend, reason about, and communicate findings from the biomedical sciences, with an emphasis on critical reading of studies published in the literature. Considers assessment of the importance of chance in the interpretation of experimental data from randomized studies and clinical trials. Topics surveyed include basic probability theory; approximate and exact inferential methods such as chi-squared and t-tests, ANOVA, and their permutation-based analogues; linear and generalized linear regression models; survival analysis; causal inference; and statistical data analysis using high-level programming languages such as R. Enrollment restricted to students in the HST program.

• Textbook Information

There is no information available for this course.