Short Course Material

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Biases in Diagnostic and Prognostic Research

This seminar/workshop will provide a brief overview of study designs for and common biases affecting diagnostic test accuracy and prognostic studies.  Numerical examples  will be used to illustrate the impact of common biases.

3/31/2023 Noon - 1:30 pm (CDT)

Hudson College of Public Health Auditorium (CHB 150)

Lunch Provided for first 25 in-person participants

Registration Link

 

 

Introduction to Complex Survey Data Analysis

Complex survey samples are reliable data resources for biomedical research. Statistical analysis that ignores the sampling design features may lead to biased results. In this workshop, we will introduce some basic SAS computational tools for conducting statistical analysis for complex survey data. We will also provide instructions for searching for design information in publicly available biomedical surveys including NHANES and BRFSS. The workshop will include hands-on practice using SAS.

4/6/2023 Noon - 2:00 pm (CDT)

Hudson College of Public Health Auditorium (CHB 150) - virtual through zoom

Lunch Provided for first 25 in-person participants

Registration Link

Flyer

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Previous Topics

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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