LGRT 1342

Krista J. Gile's research focuses on developing statistical methodology for social and behavioral science research, particularly related to making inference about hard-to-reach human populations and from partially-observed social network structures. Much of her work is focused on understanding the strengths and limitations of data sampled with link-tracing designs such as snowball sampling, contact tracing, and respondent-driven sampling.


B.S. Rensselaer Polytechnic Institute, 1998

M.S. Virginia Polytechnic Institute and State University, 2000

Ph.D. University of Washington, 2008


social science statistics, social networks, sampling, network sampling, link-tracing sampling, respondent-driven sampling