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In all three models, we controlled for the sociodemographic variables age, gender, educational attainment,8 and migration status.
In the basic models we controlled for trial arm, maternal and paternal age and child's sex and age.
In addition to accounting for phylogenetic relatedness in our mixed-effects models, we controlled statistically for potential spatial autocorrelation among the species examined (see Supplementary Tables S9 10).
In further models, we controlled for lifestyle factors and BMI.
In our final models, we controlled for qPCR plate, season of delivery, and level of education.
As a priori covariates in all models, we controlled for school, ambient temperature, and relative humidity.
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In both models, we control child and family characteristics, including child's sex, birth year, sibship size, mother's years of schooling, father's occupation, and urban residency.
Standard errors in brackets, * P < 0.05, ** P < 0.01, *** P < 0.00; in all models, we control for sociodemographic and work-related characteristics as well as for the absolute unemployment rate (see Additional file 3).
In the final model, we controlled for the clinically relevant risk factors regardless of their statistical association (i.e. gender, secondhand smoke exposure at home, allergic disease in both parents), and those factors correlated with both the bedroom concentration and the outcomes.
Using a multivariate logistic regression model, we controlled for several risk factors.
In the multivariate model, we controlled for the demographic factors of age and study site.
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