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Journal Articles
- 2020
[j7]Mattia Prosperi
, Yi Guo, Matthew Sperrin, James S. Koopman, Jae S. Min, Xing He, Shannan N. Rich, Mo Wang, Iain E. Buchan, Jiang Bian:
Causal inference and counterfactual prediction in machine learning for actionable healthcare. Nat. Mach. Intell. 2(7): 369-375 (2020)- 2012
- [j6]Erik M. Volz, James S. Koopman, Melissa J. Ward, Andrew J. Leigh Brown, Simon D. W. Frost:
Simple Epidemiological Dynamics Explain Phylogenetic Clustering of HIV from Patients with Recent Infection. PLoS Comput. Biol. 8(6) (2012) - 2010
- [j5]Ian H. Spicknall, James S. Koopman, Mark Nicas, Josep M. Pujol, Sheng Li, Joseph N. S. Eisenberg:
Informing Optimal Environmental Influenza Interventions: How the Host, Agent, and Environment Alter Dominant Routes of Transmission. PLoS Comput. Biol. 6(10) (2010) - 2009
- [j4]Josep M. Pujol, Joseph E. Eisenberg, Charles N. Haas, James S. Koopman:
The Effect of Ongoing Exposure Dynamics in Dose Response Relationships. PLoS Comput. Biol. 5(6) (2009) - 2003
- [j3]Stephen E. Chick, Sada Soorapanth, James S. Koopman:
Inferring Infection Transmission Parameters That Influence Water Treatment Decisions. Manag. Sci. 49(7): 920-935 (2003) - 1998
- [j2]Andrew L. Adams, Stephen E. Chick, Daniel C. Barth-Jones, James S. Koopman:
Simulations to Evaluate HIV Vaccine Trial Designs. Simul. 71(4): 228-241 (1998) - [j1]Gavin Welch, Stephen E. Chick, James S. Koopman:
Effect of Concurrent Partnerships and Sex-Act Rate on Gonorrhea Prevalence. Simul. 71(4): 242-249 (1998)
Conference and Workshop Papers
- 2000
- [c2]Daniel C. Barth-Jones, Andrew L. Adams, James S. Koopman:
Monte Carlo simulation experiments for analysis of HIV vaccine effects and vaccine trial design. WSC 2000: 1985-1994 - 1999
- [c1]Andrew L. Adams, James S. Koopman, Stephen E. Chick, Peter J. Yu:
GERMS: an epidemiologic simulation tool for studying geographic and social effects on infection transmission. WSC 1999: 1549-1556
Coauthor Index
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