Short Course Material

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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

Flyer

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

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Previous Topics

 

Introduction to Complex Survey Data Analysis

• Workshop materials (slides) (sas code file - remove _.txt to use)
• Workshop recording 

Biases in Diagnostic and Prognostic Research

 

Propensity Score Analysis in Epidemiologic Research: An Introduction

Part 1

• BERD Propensity Score Analysis in Epidemiologic Research
• Applied Example & SAS Program

Part 2

• BERD PSA Integration
• BERD PSA Example

 

 

Prediction Models & Risk Score Development in Clinical Research

• OSCTRBERD Risk Prediction Workshopc
• Background Material and Applied Example

 

 

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

• Multiplicity Adjustment in Clinical Trials Powerpoint
• Multiplicity Adjustment .sas file

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