Quantitative Research Methods in Population Health Sciences II
PHS 2000B
Subject & Catalog Number
Course Information
Description
This is part two of a two part core year-long quantitative methods course for the Population Health Science PhD students at the School of Public Health. The course integrates methods and concepts from the various disciplines represented by Population Health Sciences to equip students with the methodological tools to conduct their own research as well as collaborate across fields of study and areas of specialization. Part two of the course focuses on scientific inference and causal reasoning in the population health sciences and will provide an overview of methods for sensitivity analysis, interaction, mediation, propensity scores, time-varying exposures, measurement and correction for measurement error, instrumental variables, regression discontinuity designs, difference-in-difference methods, time series, missing data, multiple testing, replication, and meta-analysis. Emphasis will be placed on understanding the basic definitions, assumptions, and methodology. Students will be referred to further readings and courses to gain more detailed understanding. Coursework will consist of two weekly lectures and a weekly lab session, problem sets, and exams. Various software resources will be used throughout the course, with R being the main statistical computing platform used. The course will prepare students to critically read through the empirical population health science literature, and to implement a number of different methods in their own research.
Course Notes
This course is reserved for first-year PhD students in Population Health Sciences. Population Health Sciences PhD students are required to register for both semesters of this course and to achieve a final average grade of B or higher.
Not Available for Cross Registration
