Short Course Material
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
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
Previous Topics
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