Forrest W. Crawford is an Associate Professor of Biostatistics, Operations, and Ecology & Evolutionary Biology at Yale University. He is affiliated with the Center for Interdisciplinary Research on AIDS, the Institute for Network Science, the Computational Biology and Bioinformatics Program, and the Public Health Modeling Concentration.
Research: mathematical and statistical problems related to discrete structures and stochastic processes in epidemiology, public health, biomedicine, and evolutionary science.
Methodological interests: networks and graphs, stochastic processes, semi-parametric inference, causal inference, computational statistics, optimization, and algorithms.
Practical applications: public health, infectious disease epidemiology, sociology, evolution and ecology, and genetics.
Job openings: Several postdoctoral fellowship positions are available. Current Yale students and applicants interested in joining the group should contact me by email.
Selected recent articles
- Forrest W. Crawford, Aronow, P.M., Zeng, L. and Li, J. (2018) Identification of homophily and preferential recruitment in respondent-driven sampling. American Journal of Epidemiology, 187, 153–160. [link]
- Morozova, O., Cohen, T. and Forrest W. Crawford (2018) Risk ratios for contagious outcomes. Journal of the Royal Society Interface, In press. [link]
- Aronow, P.M., Forrest W. Crawford and Zubizarreta, J.R. (2017) Confidence intervals for linear unbiased estimators under constrained dependence. Submitted. [link]
- Forrest W. Crawford, Wu, J. and Heimer, R. (2017) Hidden population size estimation from respondent-driven sampling: a network approach. Journal of the American Statistical Association, In press. [link]
- Forrest W. Crawford (2016) The graphical structure of respondent-driven sampling. Sociological Methodology, 46, 187–211. [link]