Risky Business: Obtaining Estimates of Relative Risk

Overview

When analysing prospective studies with a binary outcome the two most commonly used effect measures are odds ratios and relative risk. Although estimates of odds ratios are easy to obtain via logistic regression, they are often difficult to interpret because they relate only indirectly to the quantity of interest, the change in risk due to exposure to an intervention or risk factor. Relative risk, or risk ratios, provide a more natural measure of this change.

Unfortunately, the direct estimation of relative risk, via log binomial regression, faces technical difficulties. As a result, many alternative methods have been suggested to obtain relative risk estimates. This can lead to confusion about which method should be used and whether other choices are appropriate. In this seminar, we will discuss several of the available options, demonstrate their use, and determine how they perform in practice in an attempt to alleviate the confusion.

The talk will be about 40 minutes long and following by discussion.

Date: Thursday 21 November 2024

Time: 2.30pm - 3.30pm

Speaker: Peter Humburg, Senior Statistical Consultant, UNSW Stats Central

Delivery Mode: Hybrid

Location: K-G27-LG07 - AGSM LG07 John B Reid Theatre

Meeting Link: See ordered ticket

FAQs

How can I contact the organiser with any questions?

Please send us an email at: stats.central@unsw.edu.au