Document Type
Article
Publication Date
2-1-2022
Published In
Significance
Abstract
Suzanne Thornton, Dooti Roy, Stephen Parry, Donna LaLonde, Wendy Martinez, Renee Ellis and David Corliss call for a more inclusive – and informative – approach to collecting data on human gender and sex.
Recommended Citation
Suzanne Thornton, D. Roy, S. Parry, D. Lalonde, W. Martinez, R. Ellis, and D. Corliss.
(2022).
"Towards Statistical Best Practices For Gender And Sex Data".
Significance.
Volume 19,
Issue 1.
40-45.
DOI: 10.1111/1740-9713.01614
https://works.swarthmore.edu/fac-math-stat/307
Comments
This is a pre-copyedited, author-produced version of an article accepted for publication in Significance following peer review. The version of record is available online: Suzanne Thornton, Dooti Roy, Stephen Parry, Donna LaLonde, Wendy Martinez, Renee Ellis, David Corliss, Towards Statistical Best Practices for Gender and Sex Data, Significance, Volume 19, Issue 1, February 2022, Pages 40–45.