Mark S Handcock

Summary

Affiliation: University of Washington
Country: USA

Publications

  1. pmc MODELING SOCIAL NETWORKS FROM SAMPLED DATA
    Mark S Handcock
    Department of Statistics, University of California, Los Angeles, California 90095 1554, USA
    Ann Appl Stat 4:5-25. 2010
  2. ncbi request reprint Likelihood-based inference for stochastic models of sexual network formation
    Mark S Handcock
    Center for Statistics and the Social Sciences, University of Washington, Box 354320, Seattle, WA 98195 4320, USA
    Theor Popul Biol 65:413-22. 2004
  3. ncbi request reprint Interval estimates for epidemic thresholds in two-sex network models
    Mark S Handcock
    Center for Statistics and the Social Sciences, University of Washington, Seattle, WA 98195 4320, USA
    Theor Popul Biol 70:125-34. 2006
  4. pmc Degree distributions in sexual networks: a framework for evaluating evidence
    Deven T Hamilton
    Department of Sociology, University of Washington, Seatle, Washington 98195, USA
    Sex Transm Dis 35:30-40. 2008
  5. ncbi request reprint Social networks: Sexual contacts and epidemic thresholds
    James Holland Jones
    Center for Statistics and the Social Sciences, and Center for AIDS and Sexually Transmitted Diseases, University of Washington, Seattle, Washington 98195, USA
    Nature 423:605-6; discussion 606. 2003
  6. pmc An assessment of preferential attachment as a mechanism for human sexual network formation
    James Holland Jones
    Center for Statistics and the Social Sciences, University of Washington, Seattle, WA 98195, USA
    Proc Biol Sci 270:1123-8. 2003
  7. ncbi request reprint Statistical correction for non-parallelism in a urinary enzyme immunoassay
    KATHLEEN A O'CONNOR
    Department of Anthropology, Center for Studies in Demography and Ecology, University of Washington, Seattle, Washington 98195, USA
    J Immunoassay Immunochem 25:259-78. 2004
  8. pmc A curved exponential family model for complex networks
    Mark S Handcock
    Department of Statistics, University of Washington, Seattle, USA
    Comput Math Organ Theory 15:294-302. 2009
  9. pmc Estimating the size of populations at high risk for HIV using respondent-driven sampling data
    Mark S Handcock
    Department of Statistics, University of California, Los Angeles, California, U S A
    Biometrics 71:258-66. 2015
  10. pmc Network Model-Assisted Inference from Respondent-Driven Sampling Data
    Krista J Gile
    University of Massachusetts, Amherst, MA, USA University of California at Los Angeles, Los Angeles, CA, USA
    J R Stat Soc Ser A Stat Soc 178:619-639. 2015

Detail Information

Publications14

  1. pmc MODELING SOCIAL NETWORKS FROM SAMPLED DATA
    Mark S Handcock
    Department of Statistics, University of California, Los Angeles, California 90095 1554, USA
    Ann Appl Stat 4:5-25. 2010
    ..We then develop inference for social network models based on information from adaptive network designs. We motivate and illustrate these ideas by analyzing the effect of link-tracing sampling designs on a collaboration network...
  2. ncbi request reprint Likelihood-based inference for stochastic models of sexual network formation
    Mark S Handcock
    Center for Statistics and the Social Sciences, University of Washington, Box 354320, Seattle, WA 98195 4320, USA
    Theor Popul Biol 65:413-22. 2004
    ..We discuss the limitations of inferences from such data, and the utility of degree-based epidemiological models more generally...
  3. ncbi request reprint Interval estimates for epidemic thresholds in two-sex network models
    Mark S Handcock
    Center for Statistics and the Social Sciences, University of Washington, Seattle, WA 98195 4320, USA
    Theor Popul Biol 70:125-34. 2006
    ..For the USA, the interval includes zero. We discuss the implications of these findings along with the limitations of epidemic models which assume random mixing...
  4. pmc Degree distributions in sexual networks: a framework for evaluating evidence
    Deven T Hamilton
    Department of Sociology, University of Washington, Seatle, Washington 98195, USA
    Sex Transm Dis 35:30-40. 2008
    ..We present a likelihood based statistical framework to test the fit of power-law and alternative social process models for the degree distribution, and derive the sexually transmitted infection epidemic predictions from each model...
  5. ncbi request reprint Social networks: Sexual contacts and epidemic thresholds
    James Holland Jones
    Center for Statistics and the Social Sciences, and Center for AIDS and Sexually Transmitted Diseases, University of Washington, Seattle, Washington 98195, USA
    Nature 423:605-6; discussion 606. 2003
  6. pmc An assessment of preferential attachment as a mechanism for human sexual network formation
    James Holland Jones
    Center for Statistics and the Social Sciences, University of Washington, Seattle, WA 98195, USA
    Proc Biol Sci 270:1123-8. 2003
    ....
  7. ncbi request reprint Statistical correction for non-parallelism in a urinary enzyme immunoassay
    KATHLEEN A O'CONNOR
    Department of Anthropology, Center for Studies in Demography and Ecology, University of Washington, Seattle, Washington 98195, USA
    J Immunoassay Immunochem 25:259-78. 2004
    ..3%+/-5.3% after correction. A statistical method based on linear mixed effects modeling is an expedient approach for correction of non-parallelism, particularly for hormone data that will be analyzed in aggregate...
  8. pmc A curved exponential family model for complex networks
    Mark S Handcock
    Department of Statistics, University of Washington, Seattle, USA
    Comput Math Organ Theory 15:294-302. 2009
    ..We present two tunable parameterizations of the model and give their interpretation. We also present a Markov Chain Monte Carlo (MCMC) algorithm that can be used to generate networks from this model...
  9. pmc Estimating the size of populations at high risk for HIV using respondent-driven sampling data
    Mark S Handcock
    Department of Statistics, University of California, Los Angeles, California, U S A
    Biometrics 71:258-66. 2015
    ..Our method is widely applicable to data from RDS studies and we provide a software package to facilitate this. ..
  10. pmc Network Model-Assisted Inference from Respondent-Driven Sampling Data
    Krista J Gile
    University of Massachusetts, Amherst, MA, USA University of California at Los Angeles, Los Angeles, CA, USA
    J R Stat Soc Ser A Stat Soc 178:619-639. 2015
    ..We demonstrate improved performance compared to existing estimators, including adjustment for an initial convenience sample. We also apply the method and an extension to the estimation of HIV prevalence in a high-risk population...
  11. pmc Comparative geographic concentrations of 4 sexually transmitted infections
    Roxanne P Kerani
    Public Health Seattle and King County, Harborview Medical Center, 359777, 325 9th Avenue, Seattle, WA 98104, USA
    Am J Public Health 95:324-30. 2005
    ..We measured and compared the concentration of primary and secondary syphilis, gonorrhea, chlamydial infection, and genital herpes in a large county with urban, suburban, and rural settings...
  12. pmc Prevalence of HIV infection among young adults in the United States: results from the Add Health study
    Martina Morris
    Department of Sociology, University of Washington, Seattle, WA 98125, USA
    Am J Public Health 96:1091-7. 2006
    ..We estimated HIV prevalence rates among young adults in the United States...
  13. ncbi request reprint Prevalence of chlamydial and gonococcal infections among young adults in the United States
    William C Miller
    Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill 27599 7435, USA
    JAMA 291:2229-36. 2004
    ..Although screening for Chlamydia trachomatis is widely recommended among young adult women, little information is available regarding the prevalence of chlamydial and gonococcal infections in the general young adult population...
  14. ncbi request reprint The prevalence of trichomoniasis in young adults in the United States
    William C Miller
    Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27516, USA
    Sex Transm Dis 32:593-8. 2005
    ..The prevalence of trichomoniasis in the general population of the United States is unknown. This study provides the first population-based prevalence estimates of trichomoniasis among young adults in the United States...