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Data for Figs. 3,4, and6were analyzed using repeated measures of variance withpost hoc comparisons to allow within-subject variation to be separated from between-subject variation.
We conducted a longitudinal cohort study using repeated measures of clinician derived and patient-reported outcomes.
Absolute differences for each group in serum creatinine and eGFR were respectively analyzed during the follow-up using repeated measures of variance.
Prospective cohort studies with a sample size greater than 1,000 that analysed data using repeated measures of exposure were included.
Fewer studies have investigated the incidence of diabetes based on longitudinal repeat blood glucose measurements in population-based samples (15, 16), and none have examined diabetes incidence using repeated measures of HbA1c.
A mixed-effects model using repeated measures of Alu or LINE-1 as the dependent variable and blood/bone lead (tibia or patella in separate models) as the primary exposure marker was fit to the data.
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In the second model, we used repeated measures of the same individual, thereby producing estimates that may not only be influenced by the use of a larger pedigree but also by information about variation within individuals.
However, not many studies have used repeated measures of respiratory health in childhood and adulthood.
In addition to parental-reported symptoms, we also used repeated measures of sensitization to common allergens to assess allergic disease.
We used repeated measures of a comprehensive set of inflammatory markers to investigate the relationship between early life measures and systemic inflammation in an African population.
Two other neuroimaging studies used repeated measures of SBP over long periods of time to compute overall mean SBP changes but did not examine SBP trajectories.
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