Background: lesbian, gay, bisexual, transgender, queer, or another non-heterosexual or cisgender identity (LGBTQ+) cancer survivors experience high financial hardship. However, structural drivers of inequities do not impact all LGBTQ+ individuals equally. Using All of Us data, we conducted an intersectional analysis of behavioral financial hardship among LGBTQ+ cancer survivors.
View Article and Find Full Text PDFGeneralized estimating equations (GEE) are of great importance in analyzing clustered data without full specification of multivariate distributions. A recent approach by Luo and Pan jointly models the mean, variance, and correlation coefficients of clustered data through three sets of regressions. We note that it represents a specific case of the more general estimating equations proposed by Yan and Fine which further allow the variance to depend on the mean through a variance function.
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