Are you interested in analyzing small samples from marginalized communities and aren't sure how?
My new commentary in AJE's collection on Methods in Social Epidemiology lays out rec's for researchers, public health practitioners, and data owners.
DM your email address if you need access.
My new commentary in AJE's collection on Methods in Social Epidemiology lays out rec's for researchers, public health practitioners, and data owners.
DM your email address if you need access.
Comments
Yet it is common practice to exclude and obscure these groups in population-level analyses because of 'insufficient sample size'.
But we also need to examine racism within structures in our own field.
Rules of thumb for sample sizes assume the goal is multivariable models. Descriptive epi is essential to address health inequities.
And exposures more common among marginalized groups are in earlier stages of research.
This encourages transparency.
Many papers report race/ethnicity data in a way that the reader cannot assess whether it was justifiable to exclude or combine racial/ethnic groups.
In situation when sample sizes from marginalized groups are too small to analyze with bivariates or regression models, thoughtfully consider who else is similar enough to be categorized together.