picScott Lynch

Scott Lynch, Ph.D., is a Professor of Sociology and the Director of Training in the Population Research Institute at Duke University. His substantive research focuses on life course and cohort patterns in social inequalities in health in the US, by education, income, race, and region. His methodological research focuses on Bayesian methods in demography.


Lynch completed his M.S. in statistics and Ph.D. in sociology at Duke before taking an assistant professorship at Princeton University in 2001. From 2001-2014, he was an assistant, associate, and full professor of sociology at Princeton. In 2014, he returned to Duke.

Lynch teaches, and has taught, numerous graduate level statistics courses at both Princeton and Duke, including courses on linear and generalized linear modeling, panel data methods, biostatistics and demographic methods, structural equation modeling, and missing data. In addition to teaching Bayesian statistics at Princeton and Duke, he has taught 1, 2, 3, and 5 day courses on the topic in a variety of venues, including in the University of Michigan’s ICPSR summer program.

In 2014, Lynch won the Leo Goodman Award for early career methodological contributions from the American Sociological Association’s methodology section.

You can visit his Duke web page by clicking here.

Dr. Lynch’s books can be found below: 

Introduction to Applied Bayesian Statistics for Social Scientists:  Program and Data Files + errata (2007)

Using Statistics in Social Research: A Concise Approach (2013)