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We used mixed models to analyze the association between reported hours of television viewing and pedometer-determined steps per day among 486 adults.
We used mixed models to account for correlation among measurements on the same subject across different medical visits.
We used mixed models to account for the influence of repeated observations per participant (using compound symmetry of the residuals).
We also used mixed models to test the dietary effects on the reversion of the MetS according to genotype groups over the 2-year intervention.
We used mixed models to study the association between blood pressure and ambient concentrations of particulate matter and ultrafine particles measured in the schools' playground.
We then used mixed models to examine the dietary effects on the reversion of the MetS over the 2-year intervention (Fig. 2).
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Data were analyzed at the facility level using mixed models to account for the complex nesting of residents within providers and nursing facilities.
Using mixed models to analyze the data, we determined the effect of a variety of demographic, social and imaging variables on the trajectory of MADRS score, the outcome variable of interest.
For our analysis we will use mixed models to estimate the effects of factors and interactions.
We shall use mixed models to analyse the continuous variables and these will include baseline covariates.
Secondary outcomes will be evaluated using mixed models to accommodate the correlation of the repeated measurements taken on an individual over time.
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used formal models to
used stratified models to
used computational models to
used economic models to
used mixed methods to
used incomprehensible models to
used standard models to
used haploid models to
used demographic models to
used mathematical models to
used multivariate models to
used geospatial models to
used univariate models to
used mixed semen to
used logit models to
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