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As a sensitivity analysis, we re-estimated our models including individual political ideology using country-specific standardized z-scores for left-right self-placement.
Models including individual- or community-level measures of SES produced associations similar to those observed in previous research.
Analyses will be conducted using standard statistical methods along with multilevel regression models including individual and area-level components.
Models including individual metabolic syndrome components showed a significant association between cardiovascular mortality and high glucose in all subjects (HR 1.59 [95% CI 1.18 2.13], P = 0.002).
To test for treatment effects (social experience, hunger status, resistance), we used generalised linear mixed models, including individual identity of the focal rats as subject in all models, as the experiment used a repeated measures design.
Based on point estimates of c-statistic, we also found that the Elixhauser method was superior to the Charlson method in models including individual diagnosis indicators to predict mortality.
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Models included "individual" as a random effect, to account for repeated measures and variation within individuals.
Logistic regression models included individual demographic, working, chronic illness and financial status and small area education data for 906,543 prescriptions from 1,280 prescribing general practitioners and specialists.
All models included individual identity and year of measurement as random effects to account for variation among individuals and years, except survival for which individual identity was excluded (as death is observed only once per individual).
Base models included individual air pollutants or PM2.5 constituents, and were adjusted for age, BMI, temperature, and relative humidity as continuous variables, with linear and quadratic terms for temperature and relative humidity (Mordukhovich et al. 2009), and also adjusted for season, month, day-of-week, hour-of-day, and study site as binary or categorical variables.
Observational measures assess 3 layers of the social ecological model including individual, family and organizational inputs.
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