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Description of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) model building.

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posted on 2024-02-29, 18:39 authored by Eliud Kibuchi, Ivy Chumo, Caroline Kabaria, Helen Elsey, Penelope Phillips-Howard, Noemia Teixeira de Siqueira-Filha, Lana Whittaker, Alastair H. Leyland, Blessing Mberu, Linsay Gray

Description of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) model building.

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    PLOS Global Public Health

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    variance partitioning coefficientstudy shows pathwayssectional data collectedrecommend relevant stakeholdersprevious two weeksmain outcome variableskey social determinantshouseholds experiencing chehousehold ethnic groupdevelop strategies aimedsmall intersectional effectssignificant intersectional effectslarge intersectional effectsconstructed intersectional strataquantified discriminatory accuracyluhya ethnic groups2 years ),5 %, auchealth conditions amongthree health conditions5 %) droppedfound good daapplied multilevel analysis9 %, auc0 %, aucmaihda )intersectional effectsintersectional stratadiscriminatory accuracyhealth conditionsinteraction effectsmultilevel analysisfound non8 %)6 %)health inequalitieshealth conditionxlink ">used crosstotal participantsrecent migrantsnovember 2012multiple interactionsintersectionality lensindividual heterogeneityfindings show120 records&# 8220

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