Network-based epidemiology for hidden and hard-to-reach populations
This is the project webpage for the NIH Director’s New Innovator Award 1DP2HD091799-01.
Project goals include:
- New statistical methodology for network-based epidemiology
- New estimators for data obtained from respondent-driven sampling
- Methods for estimating the size of a hidden or hard-to-reach population
- Web-based software for analysis of network link-tracing surveys
Selected papers related to this project
- Eck, D.J., Morozova, O. and Forrest W. Crawford (2018) Randomization for the direct effect of an infectious disease intervention in a clustered study population. Submitted.
- Gonsalves, G.S. and Forrest W. Crawford (2018) Dynamics of the HIV outbreak and response in Scott County, Indiana, 2011-2015: a modelling study. The Lancet HIV, 5.
- Aronow, P.M., Forrest W. Crawford and Zubizarreta, J.R. (2018) Confidence intervals for linear unbiased estimators under constrained dependence. Electronic Journal of Statistics, 12, 2238–2252.
- Ho, L.S., Forrest W. Crawford and Suchard, M.A. (2018) Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease. Annals of Applied Statistics, 12, 1993–2021.
- Morozova, O., Cohen, T. and Forrest W. Crawford (2018) Risk ratios for contagious outcomes. Journal of the Royal Society Interface, 15, 20170696.
- 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.
- Ho, L.S., Xu, J., Forrest W. Crawford, Minin, V.N. and Suchard, M.A. (2018) Birth(death)/birth-death processes and their computable transition probabilities with biological applications. Journal of Mathematical Biology, 76, 911–944.
- Gonsalves, G.S., Forrest W. Crawford, Cleary, P.D., Kaplan, E.H. and Paltiel, A.D. (2018) An Adaptive Approach to Locating Mobile HIV Testing Services. Medical Decision Making, 38, 262–272.
- Forrest W. Crawford (2016) The graphical structure of respondent-driven sampling. Sociological Methodology, 46, 187–211.