Thursday, April 11 / 8:30 AM - 10:00 AM   •   Grand Chenier

Session 11:
Statistical, Spatial and Network Methods

Chair: Scott M. Lynch, Princeton University
Discussant: Scott M. Lynch, Princeton University

  1. Social Network Methods for Estimating Adult Mortality: Evidence from BrazilDennis Feehan, Princeton University ; Matthew J. Salganik, Princeton University

  2. Estimating Hard-to-Reach Population Size Using Respondent-Driven Sampling DataMark S. Handcock, University of California, Los Angeles ; Krista Gile, University of Massachusetts at Amherst ; Corinne Mar, University of Washington

  3. Challenges to Recruiting Representative Samples of Female Sex Workers in China Using Respondent Driven Sampling: How Much of the Network Do We See?Giovanna Merli, Duke University ; James Moody, Duke University ; Jeff Smith, Duke University ; Jing Li, Duke University ; Sharon Weir, University of North Carolina at Chapel Hill ; Xiangsheng Chen, National Center for STD Control, China

  4. Monte Carlo Simulation-Based Recommendations for Reducing the Risk of Bias in Multilevel Models Introduced by Mis-Measuring the NeighborhoodClaudia L. Nau, Johns Hopkins Bloomberg School of Public Health

Other sessions on Data and Methods