(1) To convey the absolute change resulting from case-mix adjustment we calculated differences on the 0 100 scale between case-mix adjusted and unadjusted practice-level mean scores.
To quantify the impact of case-mix adjustment we used two primary metrics: (1) To convey the absolute change resulting from case-mix adjustment we calculated differences on the 0 100 scale between case-mix adjusted and unadjusted practice-level mean scores.
For risk adjustment, we calculated each patient's Charlson Comorbidity Index [ 17].
(2) To convey relative change resulting from case-mix adjustment we calculated changes in practice rankings.
For the case mix adjustment, we calculated the combined model score for each participant at the end of the month before the start date.
For age- and sex adjustment, we calculated mean MUAC and SDs within 3-year age- and sex-specific groupings between ages 6 and 17 years and among individuals of age 18+ years.
To quantify the impact of measurement error adjustment, we calculated the percent difference in the HRs [((HR – HR measurement error)/HR)*100], as well as the percent increase in width in the confidence intervals [((UCL LCL - UCL measurement error –L - UCLsuremeasurement)/(UCL–LCL)]*100], afterrorjustment.
After adjustment for covariates, we calculated 7.12 excess earaches among head immersion swimmers per 1,000 swimming events.
Applying the Clifford-Richardson adjustment for spatial autocorrelation, we calculated Spearman's Rank Correlation Coefficients (rho, rs) and adjusted p-values to measure the strength of association between the derived scores and original network scores provided by Walk Score®.
After adjustment for potential confounders, we calculated odds ratios (ORs) and 95% confidence intervals (CIs) for the relationships between all individual THM species and growth and preterm birth outcomes.
