|
|
|
|
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
|
