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Overcoming Combination Complexity and Expanding Diversity in Research: An Introduction to MAIHDA
Clare R. Evans, ScD, MPH, ScD in Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health (2015), MPH in Sociomedical Sciences, Columbia University Mailman School of Public Health (2011).
Clare is an Associate Professor in the Department of Sociology at the University of Oregon, where she serves as Core Faculty for the UO Center for Global Health and on the executive leadership teams for the UO programs in Global Health and Disability Studies. A social epidemiologist, medical sociologist, and quantitative methodologist, her research focuses on the intersectional social determinants of population health inequalities, and expanding the quantitative approaches we use to study them.
In 2015, Dr. Evans proposed using hierarchical multilevel models to evaluate intersectional health inequalities—an approach now known as intersectional MAIHDA (multilevel analysis of individual heterogeneity and discriminatory accuracy). MAIHDA has been welcomed as the new ‘gold standard’ for investigating inequalities in social epidemiology and it is rapidly being adopted across the social and health sciences. Recently, she proposed and developed further extensions of the approach, including multicategorical MAIHDA for use in the clinical and biomedical sciences, random slopes MAIHDA for complex study and analytic designs, and eco-intersectional multilevel (EIM) modeling for investigation of environmental health injustices.
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