Calculating risk and prevalence ratios and differences in R: Developing intuition with a hands-on tutorial and code

We present a hands-on tutorial that includes annotated code written in an open-source statistical programming language (R) showing readers how to apply, compare, and understand four methods used to estimate a risk or prevalence ratio (or difference), rather than presenting an odds ratio. We will provide guidance on when to use each method, discussing the strengths and limitations of each approach, and compare the results obtained across them. Ultimately, we aim to help trainees, public health researchers, and interdisciplinary professionals develop an intuition for these methods and empower them to implement and interpret these methods in their own research.PMID:37572803 | DOI:10.1016/j.annepidem.2023.08.001
Source: Annals of Epidemiology - Category: Epidemiology Authors: Source Type: research