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Activity Details

53 Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Applications of Data Linkage and Machine Learning Techniques — Contributed Papers
Survey Research Methods Section, Text Analysis Interest Group
Chair(s): Jeffrey Gonzalez, Economic Research Service
Visualizing Text Mining Results of the Consumer Feedback Data
Shankang Qu, PepsiCo
Machine-Learning Algorithms to Improve Payment Imputation in the Medical Expenditure Panel Survey (MEPS)
Emily Mitchell, Agency for Healthcare Research and Quality (AHRQ); Chandler McClellan, Agency for Healthcare Research and Quality (AHRQ); Jerrod Anderson, Agency for Healthcare Research and Quality (AHRQ); Samuel H Zuvekas, Agency for Healthcare Research and Quality (AHRQ)
Estimating Linkage Errors Under Regularity Conditions
Abel Dasylva; Arthur Goussanou, Statistics Canada
Side Effect Reduction of Prior and Processed Information on Survey Design (Parts 1, 2 and 3)
Abdellatif Demnati, Independent Researcher
Addressing Optimization Challenges in Health Survey Research Using Multi-Objective Constrained Binary Particle Swarm Optimization
Di Xiong, UCLA SPH; Honghu Liu, UCLA
Using Data Science to Build Survey Sampling Frames from Scratch
Joseph Rodhouse, National Agricultural Statistics Service; Tyler Wilson, National Agricultural Statistics Service