Short Course Material
Introduction to Data Integration for combining probability and nonprobability samples
Nonprobability samples have been used frequently in practice including education, medical study, and public opinion research. Due to selection bias, naïve estimates without adjustments by using nonprobability samples may lead to misleading results. In this course, we will discuss some commonly used data integration methods for reducing the selection bias of nonprobability samples.
9/29/2023 Noon - 2:00 pm (CDT)
Hudson College of Public Health Auditorium (CHB 220)
Lunch Provided for first 25 in-person participants
Workshop materials (slides) (code and data) (new R code)
Previous Topics
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- Workshop recording
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