Clare R Evans
Datos Biográficos
| ID | 255899 |
|---|---|
| NOMBRE | Clare R Evans |
| NOMBRES | Clare R |
| APELLIDO | Evans |
| FIRMA | EVANS C R |
| AFILIACIONES | University of Oregon |
| ORCID | 0000-0002-9862-9506 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 31 |
| TOTAL DE CITAS | 306 |
| TOTAL COMO AUTOR | 31 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2015 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 10 |
Reckoning with Statistics’ Eugenicist Origins
A 10-year retrospective review and future directions for intersectional Maihda
Examining variation within Hispanic ethnicity
Birthweight inequities in the United States have been persistent with variations observed across maternal age, race/ethnicity, education, and nativity status. However, the Hispanic/Latino population is often treated as a monolithic category, ignoring within-group diversity and heterogeneity of health outcomes. This study employed an intersectional MAIHDA (multilevel analysis of individual heterogeneity and discriminatory accuracy) to examine birt…
Making sense of Maihda’s history and goals
An intersectional analysis of stranger, acquaintance and domestic violence victimisation in England and Wales using Maihda
This study investigates intersectional disparities in stranger, acquaintance and domestic violence victimisation using 5 years of Crime Survey for England and Wales data (N = 165,661). Using logistic Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA), we estimate inequalities across 191 strata defined by combinations of gender, ethnicity, age, socioeconomic status (SES) and disability. Around 17%–26% of the total…
The Statistical Advantages of Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy for Estimating Intersectional Inequalities
Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) is a multilevel regression approach grounded in intersectionality theory. It examines inequalities across intersections of social identities (e.g., gender, ethnicity, class) and is argued to provide more accurate predictions of intersectional means than conventional methods that estimate group means directly or via regressions with all interactions. This study ev…
Sociodemographic Inequalities in Student Achievement
Sociodemographic inequalities in student achievement are a persistent concern for education systems and are increasingly recognized to be intersectional. Intersectionality considers the multidimensional nature of disadvantage, appreciating the interlocking social determinants which shape individual experience. Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) is a new approach developed in populat…
A tutorial for conducting intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (Maihda)
Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (I-MAIHDA) is an innovative approach for investigating inequalities, including intersectional inequalities in health, disease, psychosocial, socioeconomic, and other outcomes. I-MAIHDA and related MAIHDA approaches have conceptual and methodological advantages over conventional single-level regression analysis. By enabling the study of inequalities produced…
Intersectional inequalities in mental health by education, income, gender, and age before and during the Covid-19 pandemic in the Netherlands
Inequalities in mental health add up for those who experience multiple axes of disadvantage, such as women and those with low incomes, but no disproportionate intersectional interaction effects were found. Effort is needed to ensure that mental health support is accessible for all, especially those with low incomes. Given the especially strong mental health declines among those over 65, responses to future crises need to include measures to prote…
Clarifications on the intersectional Maihda approach
Overcoming combination fatigue
Extending intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (Maihda) to study individual longitudinal trajectories, with application to mental health in the UK
The intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) approach is gaining prominence in health sciences and beyond, as a robust quantitative method for identifying intersectional inequalities in a range of individual outcomes. However, it has so far not been applied to longitudinal data, despite the availability of such data, and growing recognition that intersectional social processes and determi…
The application of intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (Maihda) to examine birthweight inequities in New York City
Intersectional inequities in the birthweight gap between twin and singleton births
Intersectional inequalities in industrial air toxics exposure in the United States
Environmental justice and health research demonstrate unequal exposure to environmental hazards at the neighborhood-level. We use an innovative method-eco-intersectional multilevel (EIM) modeling-to assess intersectional inequalities in industrial air toxics exposure across US census tracts in 2014. Results reveal stark inequalities in exposure across analytic strata, with a 45-fold difference in average exposure between most and least exposed. L…
How Do Adolescent Social Determinants and Social Contexts Shape Adult Sexual Identification
This study explores the social determinants of exclusively straight sexual identification in a large, nationally representative sample. Using data from the National Longitudinal Study of Adolescent to Adult Health and combining cross-classified multilevel models with social network analysis, we examine how straight identification varies across school, neighborhood, and network community contexts. We also test whether numerous determinants identif…
An Intercategorical Ecology of Lead Exposure
In 2014, city and state officials channeled toxic water into Flint, Michigan and its unevenly distributed and corroding lead service lines (LSLs). The resulting Flint water crisis is a tragic example of environmental racism against a majority Black city and enduring racial and spatial disparities in environmental lead exposures in the United States. Important questions remain about how race intersected with other established environmental health …
Intersectional environmental justice and population health inequalities
Sexual Identification in the United States at the Intersections of Gender, Race/Ethnicity, Immigration, and Education
Multilevel versus single-level regression for the analysis of multilevel information
Intersectional inequalities and the U.S. opioid crisis
Dominant narratives of prescription opioid misuse (POM) in the U.S. have portrayed it as an issue primarily affecting White communities. In this study we explore POM as reported in data from the 2015 National Survey on Drug Use and Health, using an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA). We map the risk of POM through a series of multilevel models with individuals (N = 43,409) nested wi…
Reintegrating contexts into quantitative intersectional analyses of health inequalities
Modeling the intersectionality of processes in the social production of health inequalities
Adding interactions to models of intersectional health inequalities
Intersectionality and depression in adolescence and early adulthood
A multilevel approach to modeling health inequalities at the intersection of multiple social identities
Can intersectionality theory enrich population health research
Intersectionality and depression in adolescence and early adulthood
Modeling the intersectionality of processes in the social production of health inequalities
Multilevel versus single-level regression for the analysis of multilevel information
Intersectional environmental justice and population health inequalities
Adding interactions to models of intersectional health inequalities
Sexual Identification in the United States at the Intersections of Gender, Race/Ethnicity, Immigration, and Education
Intersectional inequalities in industrial air toxics exposure in the United States
Environmental justice and health research demonstrate unequal exposure to environmental hazards at the neighborhood-level. We use an innovative method-eco-intersectional multilevel (EIM) modeling-to assess intersectional inequalities in industrial air toxics exposure across US census tracts in 2014. Results reveal stark inequalities in exposure across analytic strata, with a 45-fold difference in average exposure between most and least exposed. L…
Multiple contexts and adolescent body mass index
Reintegrating contexts into quantitative intersectional analyses of health inequalities
The application of intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (Maihda) to examine birthweight inequities in New York City
Intersectional inequities in the birthweight gap between twin and singleton births
Extending intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (Maihda) to study individual longitudinal trajectories, with application to mental health in the UK
The intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) approach is gaining prominence in health sciences and beyond, as a robust quantitative method for identifying intersectional inequalities in a range of individual outcomes. However, it has so far not been applied to longitudinal data, despite the availability of such data, and growing recognition that intersectional social processes and determi…
Disentangling the Relative Influence of Schools and Neighborhoods on Adolescents’ Risk for Depressive Symptoms
Objectives. Although schools and neighborhoods influence health, little is known about their relative importance, or the influence of one context after the influence of the other has been taken into account. We simultaneously examined the influence of each setting on depression among adolescents. Methods. Analyzing data from wave 1 (1994–1995) of the National Longitudinal Study of Adolescent Health, we used cross-classified multilevel modeling to…
Sociodemographic Inequalities in Student Achievement
Sociodemographic inequalities in student achievement are a persistent concern for education systems and are increasingly recognized to be intersectional. Intersectionality considers the multidimensional nature of disadvantage, appreciating the interlocking social determinants which shape individual experience. Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) is a new approach developed in populat…
Overcoming combination fatigue
How Do Adolescent Social Determinants and Social Contexts Shape Adult Sexual Identification
This study explores the social determinants of exclusively straight sexual identification in a large, nationally representative sample. Using data from the National Longitudinal Study of Adolescent to Adult Health and combining cross-classified multilevel models with social network analysis, we examine how straight identification varies across school, neighborhood, and network community contexts. We also test whether numerous determinants identif…
Does an uneven sample size distribution across settings matter in cross-classified multilevel modeling? Results of a simulation study
The persistent clustering of adult body mass index by school attended in adolescence
BACKGROUND: It is well known that adolescent body mass index (BMI) shows school-level clustering. We explore whether school-level clustering of BMI persists into adulthood. METHODS: Multilevel models nesting young adults in schools they attended as adolescents are fit for 3 outcomes: adolescent BMI, self-report adult BMI and measured adult BMI. Sex-stratified and race/ethnicity-stratified (black, Hispanic, white, other) analyses were also conduct…
Disentangling the Relative Influence of Schools and Neighborhoods on Adolescents’ Risk for Depressive Symptoms
Objectives. Although schools and neighborhoods influence health, little is known about their relative importance, or the influence of one context after the influence of the other has been taken into account. We simultaneously examined the influence of each setting on depression among adolescents. Methods. Analyzing data from wave 1 (1994–1995) of the National Longitudinal Study of Adolescent Health, we used cross-classified multilevel modeling to…
The persistent clustering of adult body mass index by school attended in adolescence
BACKGROUND: It is well known that adolescent body mass index (BMI) shows school-level clustering. We explore whether school-level clustering of BMI persists into adulthood. METHODS: Multilevel models nesting young adults in schools they attended as adolescents are fit for 3 outcomes: adolescent BMI, self-report adult BMI and measured adult BMI. Sex-stratified and race/ethnicity-stratified (black, Hispanic, white, other) analyses were also conduct…
Multiple contexts and adolescent body mass index
Can intersectionality theory enrich population health research
Does an uneven sample size distribution across settings matter in cross-classified multilevel modeling? Results of a simulation study
A multilevel approach to modeling health inequalities at the intersection of multiple social identities
Intersectional inequalities and the U.S. opioid crisis
Dominant narratives of prescription opioid misuse (POM) in the U.S. have portrayed it as an issue primarily affecting White communities. In this study we explore POM as reported in data from the 2015 National Survey on Drug Use and Health, using an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA). We map the risk of POM through a series of multilevel models with individuals (N = 43,409) nested wi…
Reintegrating contexts into quantitative intersectional analyses of health inequalities
Modeling the intersectionality of processes in the social production of health inequalities
Adding interactions to models of intersectional health inequalities
Intersectionality and depression in adolescence and early adulthood
Sexual Identification in the United States at the Intersections of Gender, Race/Ethnicity, Immigration, and Education
Multilevel versus single-level regression for the analysis of multilevel information
An Intercategorical Ecology of Lead Exposure
In 2014, city and state officials channeled toxic water into Flint, Michigan and its unevenly distributed and corroding lead service lines (LSLs). The resulting Flint water crisis is a tragic example of environmental racism against a majority Black city and enduring racial and spatial disparities in environmental lead exposures in the United States. Important questions remain about how race intersected with other established environmental health …
Intersectional environmental justice and population health inequalities
Intersectional inequalities in industrial air toxics exposure in the United States
Environmental justice and health research demonstrate unequal exposure to environmental hazards at the neighborhood-level. We use an innovative method-eco-intersectional multilevel (EIM) modeling-to assess intersectional inequalities in industrial air toxics exposure across US census tracts in 2014. Results reveal stark inequalities in exposure across analytic strata, with a 45-fold difference in average exposure between most and least exposed. L…
How Do Adolescent Social Determinants and Social Contexts Shape Adult Sexual Identification
This study explores the social determinants of exclusively straight sexual identification in a large, nationally representative sample. Using data from the National Longitudinal Study of Adolescent to Adult Health and combining cross-classified multilevel models with social network analysis, we examine how straight identification varies across school, neighborhood, and network community contexts. We also test whether numerous determinants identif…
The application of intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (Maihda) to examine birthweight inequities in New York City
Intersectional inequities in the birthweight gap between twin and singleton births
A tutorial for conducting intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (Maihda)
Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (I-MAIHDA) is an innovative approach for investigating inequalities, including intersectional inequalities in health, disease, psychosocial, socioeconomic, and other outcomes. I-MAIHDA and related MAIHDA approaches have conceptual and methodological advantages over conventional single-level regression analysis. By enabling the study of inequalities produced…
Intersectional inequalities in mental health by education, income, gender, and age before and during the Covid-19 pandemic in the Netherlands
Inequalities in mental health add up for those who experience multiple axes of disadvantage, such as women and those with low incomes, but no disproportionate intersectional interaction effects were found. Effort is needed to ensure that mental health support is accessible for all, especially those with low incomes. Given the especially strong mental health declines among those over 65, responses to future crises need to include measures to prote…
Clarifications on the intersectional Maihda approach
Overcoming combination fatigue
Extending intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (Maihda) to study individual longitudinal trajectories, with application to mental health in the UK
The intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) approach is gaining prominence in health sciences and beyond, as a robust quantitative method for identifying intersectional inequalities in a range of individual outcomes. However, it has so far not been applied to longitudinal data, despite the availability of such data, and growing recognition that intersectional social processes and determi…
Examining variation within Hispanic ethnicity
Birthweight inequities in the United States have been persistent with variations observed across maternal age, race/ethnicity, education, and nativity status. However, the Hispanic/Latino population is often treated as a monolithic category, ignoring within-group diversity and heterogeneity of health outcomes. This study employed an intersectional MAIHDA (multilevel analysis of individual heterogeneity and discriminatory accuracy) to examine birt…
Sociology (22 obras) · Medicine (18 obras) · Health disparities and outcomes (17 obras) · Intersectionality (16 obras) · Geography (15 obras) · Inequality (15 obras) · Multilevel model (15 obras) · Psychology (15 obras) · Mathematics (14 obras) · Gender Studies (12 obras)