Accessibility settings

This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3460) Public (e)Health, Digital Epidemiology and Public Health Informatics (1109) Equity and Digital Divide (419) Statistical Methods for Surveillance and Population Health (196)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76037, first published .
Additive and Multiplicative Effects of Socially Stigmatized Identities Using Linear Regression to Model Effects on Self-Reported Overall Health as Reported in the All of Us Research Program: Quantitative Analysis

Additive and Multiplicative Effects of Socially Stigmatized Identities Using Linear Regression to Model Effects on Self-Reported Overall Health as Reported in the All of Us Research Program: Quantitative Analysis

Additive and Multiplicative Effects of Socially Stigmatized Identities Using Linear Regression to Model Effects on Self-Reported Overall Health as Reported in the All of Us Research Program: Quantitative Analysis

Authors of this article:

Katrine LeStage1 Author Orcid Image ;   Robert Vogel2 Author Orcid Image ;   Julia Moore Vogel3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Katrine LeStage   1 ;   Robert Vogel   2 , BS, PhD ;   Julia Moore Vogel   3 , BS, MBA, PhD

1 Hoosic Valley Central School, Schaghticoke, NY, United States

2 Department of Psychiatry, University of California, San Diego, San Diego, CA, United States

3 Scripps Research Translational Institute, Scripps Research Institute, La Jolla, CA, United States

Corresponding Author:

  • Julia Moore Vogel, BS, MBA, PhD
  • Scripps Research Translational Institute
  • Scripps Research Institute
  • 10550 North Torrey Pines Road, SGM-PLAZA
  • La Jolla, CA 92037
  • United States
  • Phone: 858 784 2275
  • Email: juliamv@scripps.edu