Forrest W. Crawford, Ph.D.
Affiliations: | 2012 | Biomathematics 0121 | University of California, Los Angeles, Los Angeles, CA |
Area:
Biostatistics Biology, StatisticsGoogle:
"Forrest Crawford"Parents
Sign in to add mentorMarc A. Suchard | grad student | 2012 | UCLA | |
(General birth-death processes: Probabilities, inference, and applications.) |
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Publications
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Cheng S, Eck DJ, Crawford FW. (2020) Estimating the size of a hidden finite set: Large-sample behavior of estimators Statistics Surveys. 14: 1-31 |
Morozova O, Booth RE, Dvoriak S, et al. (2019) Divergent estimates of HIV incidence among people who inject drugs in Ukraine. The International Journal On Drug Policy |
Crawford FW, Wu J, Heimer R. (2018) Hidden population size estimation from respondent-driven sampling: a network approach. Journal of the American Statistical Association. 113: 755-766 |
Crawford FW, Ho LST, Suchard MA. (2018) Computational methods for birth-death processes. Wiley Interdisciplinary Reviews. Computational Statistics. 10 |
Liu Y, Crawford FW. (2018) Estimating dose-specific cell division and apoptosis rates from chemo-sensitivity experiments. Scientific Reports. 8: 2705 |
Aronow PM, Crawford FW, Zubizarreta JR. (2018) Confidence intervals for linear unbiased estimators under constrained dependence Electronic Journal of Statistics. 12: 2238-2252 |
Ho LST, Crawford FW, Suchard MA. (2018) Direct likelihood-based inference for discretely observed stochastic compartmental models of infectious disease The Annals of Applied Statistics. 12: 1993-2021 |
Wu J, Crawford FW, Raag M, et al. (2017) Using data from respondent-driven sampling studies to estimate the number of people who inject drugs: Application to the Kohtla-Järve region of Estonia. Plos One. 12: e0185711 |
Ho LST, Xu J, Crawford FW, et al. (2017) Birth/birth-death processes and their computable transition probabilities with biological applications. Journal of Mathematical Biology |
Crawford FW, Aronow PM, Zeng L, et al. (2017) Identification of homophily and preferential recruitment in respondent-driven sampling. American Journal of Epidemiology |