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

Registration Link


Workshop materials (slides) (code and data) (new R code)



Previous Topics


Introduction to Complex Survey Data Analysis

Biases in Diagnostic and Prognostic Research


Propensity Score Analysis in Epidemiologic Research: An Introduction

Part 1

Part 2



Prediction Models & Risk Score Development in Clinical Research



Multplicity Adjustment in Design & Analysis of Clinical Trails Agenda 9/42/2021