… Applying an innovative stepwise multilevel analysis, we … Our analyses are based on real data
and provide useful … perform and interpret a multilevel analysis of individual heterogeneity in …

… , obviously, the underlying reason for the low discriminatory accuracy of many “risk factors”. …
I believe that measures of discriminatory accuracy need to be more extensively used in …

… While we believe in the merits of multilevel analysis of individual heterogeneity informed
by intersectionality theory as a way forward for epidemiology, we agree that epidemiologists …

… Intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (I-MAIHDA)
is an innovative approach for investigating inequalities, including intersectional …

… of Individual Heterogeneity and Discriminatory Accuracy (… The MAIHDA approach uses a
multilevel model as the … obtaining information on the discriminatory accuracy of these strata for …

… analysis and combinations of multiple social and demographic categorizations (ie, intersectional
strata) at the second level of analysis… ) that informs on the discriminatory accuracy of the …

… and multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)
to analyze … We develop two multilevel models to obtain information on stratum-specific BMI …

… We apply ‘multilevel analysis of individual heterogeneity and discriminatory accuracy’ (MAIHDA)
to (i) quantify the extent to which the country of residence determines individual risk of …

… so we should know the discriminatory accuracy of, for instance, … For this purpose, we perform
a multilevel analysis that … approach based on measures of discriminatory accuracy [29–31]. …

… This study addressed these limitations by utilizing a multilevel analysis of individual
heterogeneity and discriminatory accuracy, or MAIHDA (Evans et al., 2018; Merlo, 2018). This …