The workshop will be held at the Bureau of Labor Statistics (BLS) Conference Center in Washington, DC on April 7, 2011.
REGISTRATION IS CLOSED.
Presentations
Bor-Chung Chen: Overview of Simulation Models and a Simulation Model for NHIS Field Operations and Cost Estimates
Carolyn Rutter: Simulation Models to Inform Health Policy: Colorectal Cancer Screening
Michael Hidiroglou, Francois Laflamme: Microsimulating and Optimizing CATI Call Scheduling
Georgiy Bobashev: Standard Errors and Uncertainty in Agent-based Models
Jeffrey Gonzalez and John Eltinge: Some Cost-Modeling Topics for Prospective Redesign of the U.S. Consumer Expenditure Surveys
Ben Klemens: Modeling Surveys
BACKGROUND PAPERS
Dynamic Microsimulation Models for Health Outcomes : A Review
Carolyn M. Rutter, Alan M. Zaslavsky and Eric J. Feuer
An Evidence-Based Microsimulation Model for Colorectal Cancer: Validation and Application
Carolyn M. Rutter and James E. Savarino
Bayesian Calibration of Microsimulation Models
Carolyn M. Rutter, Diana L. Miglioretti, James E. Savarino
Modelling and Simulation of Survey Collection Using Paradata
Kristen Couture, Yvés Belanger, Elisabeth Neusy
Uncertainty and Inference in Agent-based Models
Georgiy V. Bobashev and Robert J. Morris
Simulation Model of Field Operations in Surveys
Bor-Chung Chen
Use of Paradata to Develop a Framework for Predicting Cost and Statistical Outcomes of Changing Follow-Up Procedures: Case Studies in ABS Business and Household Surveys
Australian Bureau of Statistics
LTP Proposal - Interviewer Scheduling Tools
Use of Paradata to Improve Survey Operations for Household and Business Surveys
Australian Bureau of Statistics
Microsimulation Collection Project
Kristen Couture, Yvés Belanger, Elisabeth Neusy, Marcelle Tremblay
Microsimulation of Survey Collection
Yvés Belanger, Kirsten Couture
Microsimulation: An Update
Yvés Belanger, Kristen Couture, Elisabeth Neusy
Modeling and Simulation of Survey Collection Using Paradata
Kristen Couture, Yvés Belanger and Elisabeth Neusy
Cost-Efficient Framework for Data Collection for CATI Surveys
François Laflamme
Event Type
- NISS Sponsored