Description: This course will present the fundamentals of biostatistics and epidemiology with the aim of training students how to comprehend critique and communicate findings from the biomedical literature. In the first part of this course, students will learn how to assess the importance of chance in the interpretation of experimental data. Major topics covered include probability theory, normal sampling, chi-squared and t-tests, analysis of variance, linear regression and survival analysis, as well as how to perform elementary calculations using the statistical package STATA. In the second part this course, students will learn how to identify and prevent bias in observational studies. Students will learn about causal inference, types of bias (confounding, selection and information bias), and key study designs (randomized trials, cohort and case-control studies).
Professors: Michael Williams