Inference on network statistics by restricting to the network space: applications to sexual history data
暂无分享,去创建一个
[1] S. Fortmann,et al. Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease. , 1992, American journal of public health.
[2] Catherine MacPhail,et al. Keep them in school: the importance of education as a protective factor against HIV infection among young South African women. , 2008, International journal of epidemiology.
[3] M. Handcock,et al. Likelihood-based inference for stochastic models of sexual network formation. , 2004, Theoretical population biology.
[4] N. McGrath,et al. Reported number of sexual partners: comparison of data from four African longitudinal studies , 2009, Sexually Transmitted Infections.
[5] A. Ghani,et al. Risks of Acquiring and Transmitting Sexually Transmitted Diseases in Sexual Partner Networks , 2000, Sexually transmitted diseases.
[6] Ravi Goyal,et al. Sampling networks from their posterior predictive distribution , 2014, Network Science.
[7] S Q Muth,et al. Prostitution and the sex discrepancy in reported number of sexual partners. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[8] Benjamin Armbruster,et al. The reliability of sexual partnership histories: implications for the measurement of partnership concurrency during surveys , 2011, AIDS.
[9] A. Ghani,et al. The Role of Sexual Partnership Networks in the Epidemiology of Gonorrhea , 1997, Sexually transmitted diseases.
[10] Martina Morris,et al. Concurrent partnerships and HIV prevalence disparities by race: linking science and public health practice. , 2009, American journal of public health.
[11] Martina Morris,et al. A microsimulation study of the effect of concurrent partnerships on the spread of HIV in Uganda , 2000 .
[12] M Kretzschmar,et al. Measures of concurrency in networks and the spread of infectious disease. , 1996, Mathematical biosciences.
[13] Jeffrey W. Eaton,et al. HIV Treatment as Prevention: Considerations in the Design, Conduct, and Analysis of Cluster Randomized Controlled Trials of Combination HIV Prevention , 2012, PLoS medicine.
[14] M E J Newman. Assortative mixing in networks. , 2002, Physical review letters.
[15] Jeffrey W. Eaton,et al. HPTN 071 (PopART): A Cluster-Randomized Trial of the Population Impact of an HIV Combination Prevention Intervention Including Universal Testing and Treatment: Mathematical Model , 2014, PloS one.
[16] Martina Morris,et al. Concurrent Partnerships, Acute Infection and HIV Epidemic Dynamics Among Young Adults in Zimbabwe , 2012, AIDS and Behavior.
[17] Stefan D Baral,et al. Stochastic variation in network epidemic models: implications for the design of community level HIV prevention trials , 2014, Statistics in medicine.
[18] V. De Gruttola,et al. Sample size considerations in the design of cluster randomized trials of combination HIV prevention , 2014, Clinical trials.
[19] M. Newman. Spread of epidemic disease on networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.