Source materials used in the study of population; standard procedures for the measurement of fertility, mortality, natural increase, migration, and nuptiality; and uses of model life tables and stable population analysis and other techniques of estimation when faced with inaccurate or incomplete data are studied.

This course is a doctoral seminar in modern demographic methods and theory, with a focus on application in dissertation research. We cover non-stable population methods, including tempo and quantum as well as variable-r methods; population projection; modern multistate life table methods; multivariate and functional decomposition; event history (survival) models; indirect estimation; sample survey methods; the biology and demography of aging, including coverage of biomarkers, Alzheimer's disease, and quantitative models for aging; modeling heterogeneity and selection; imputation of missing data; and sources of data in population research.

Course examines how and why society can make us sick or healthy and how gender, race/ethnicity, wealth, education, occupation and other social statuses shape health outcomes. It looks at the role of social institutions, and environment-society interactions in shaping health outcomes and examines how these factors underlie some of the major causes of illness and death around the world including infant mortality, infectious diseases such as HIV/AIDS, and chronic diseases such as heart disease and cancer. The course draws on historical and cross-cultural material from the U.S. as well as global examples from different countries around the world.

This course combines a traditional public health course in epidemiology with a policy-oriented course on population health. Conventional topics include measurement of health and survival and impact of associated risk factors; techniques for design, analysis of epidemiologic studies; sources of bias and confounding; and causal inference. We also examine: models of infectious disease with an emphasis on COVID-19, inference and decision making based on large numbers of studies and contradictory information, the science underlying screening procedures, social inequalities in health, and ethical issues in medical research.