Instructor Oregon State University Carlson College of Veterinary Medicine Corvallis, Oregon, United States
Clinical research results can be confusing to clinicians because we are not adequately trained in their interpretation. We will cover correct interpretation of common measures reported in clinical research (e.g. odds ratios, hazard ratios, risk ratios, diagnostic test indices) to make results meaningful for your patient. In addition, we will discuss why statisticians (as well as medical journals) are growing leery of p-values (due to their frequent misinterpretation). Absolutely no math is required. The presentation is aimed at both end-users (clinicians) and generators (researchers/residents) of clinical research data.
Learning Objectives:
1. Be able to interpret odds ratios and hazard ratios and Kaplan-Meier curves used in survival analysis.
Be able to interpret diagnostic test accuracy metrics and evaluate the precision of those estimates.
Avoid misinterpretation of (and overemphasis on) p-values.
Understand confidence intervals and their use as a replacement for p-values.
