Session 11:
Statistical, Spatial and Network Methods

Thursday, April 11
8:30 AM - 10:00 AM
Grand Chenier
5th Floor

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

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