Introduction to Biostatistics and Epidemiology – HST190/191
Instructors: Rebecca Betensky, Miguel Hernán, Yves Chretien, Lauren Cain
This course presents the fundamentals of biostatistics and epidemiology with the aim of training students 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 has how to perform elementary calculations using the statistical package STATA. In the second part of 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 measurement bias), and key study designs (randomized trials, cohort studies and case-control studies).
Winter IAP, Harvard-MIT Division of Health Sciences and Technology