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McLaughlin_profile

Katherine McLaughlin

Assistant Professor
Department of Statistics

Katherine McLaughlin

Assistant Professor
Department of Statistics

Background

Education

Ph.D. Statistics, University of California, Los Angeles, 2016

B.A. Statistics, University of California, Berkeley, 2011

Research

Research Interests

  • Saming Methods
  • Social Network Analysis
  • Network Sampling
  • Respondent-driven Sampling
  • Social Science Applications of Statistics

Research Area

Data Science

Publications

  • McLaughlin, K.R., "A Bayesian Framework for Modeling the Preferential Recruitment Process in Respondent-Driven Sampling." Accepted to Statistical Modelling.
  • Johnston, L.G., McLaughlin, K.R., Gios, L. Cordioli, M., Staneková, D.V., Blondeel, K., Toskin, I., and Mirandola, M., "Populations size estimations using SS-PSE among men who have sex with men in four European cities: How many MSM are living with HIV?" Accepted to European Journal of Public Health.
  • McLaughlin, K.R., Johnston, L.G., Gamble, L.J., Grigoryan, T., Papoyan, A., and Grigoryan, S. (2019), "Population size estimations among hidden populations using respondent-driven sampling surveys: Case studies from Armenia," JMIR Public Health and Surveillance, 5(1):e12034.
  • McLaughlin, K. R. and EmBree, J. D. (2018), "Empirical Assessment of Programs to Promote Collaboration: A Network Model Approach," The Annals of Applied Statistics, 12(1):654-682.
  • Johnston, L. G., McLaughlin, K. R., Rouhani, S. A., and Bartels, S. A. (2017), “Measuring a hidden population: A novel technique to estimate the population size of women with sexual violence related pregnancies in South Kivu Province, Democratic Republic of Congo,” Journal of Epidemiology and Global Health, 7(1):45-53
  • Johnston, L. G., McLaughlin, K. R., El Rhilani, H., Latifi, A., Toufik, A., Bennani, A., Alami, K., Elomari, B., and Handcock, M. S. (2015), “A novel method for estimating the size of hidden populations using respondent-driven sampling data: Case examples from Morocco,” Epidemiology, 26(6):846-852.