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An analysis of variance using recombination estimates as dependent variable and MAFs as a mean effect shows significant differences between categories for all populations, with bins with high MAFs showing high recombination estimates (F9, 636,901 = 776,8 p = <0.0001; Figure S2).
To characterize differences between the three groups, cluster regional volume estimates surviving the conjunction analyses were extracted using MarsBaR (41) and imported into SPSS to perform analysis of variance ROI analyses with group (ADHD, relatives, control subjects) as a fixed factor and cluster regional volume estimates as dependent variables.
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They're not as dependent on it".
Taking the slopes of regression estimates as our dependent variable, we examined spatial relationships among temperature-sensitive water use patterns, housing density, impervious surfaces, low vegetation, and tree canopy extent.
The GWR analysis was carried out separately for croplands, grasslands and forests with the remote sensing derived biomass estimates as the dependent variable and the land cover specific biomass estimates as independent variables.
For each indicator, a simple linear regression model was fitted, using the logit of WHO and NCHS estimates as, respectively, dependent and independent variables.
We then performed a repeated measures ANOVA with the recombination estimates as the dependent variable and our results showed that, indeed, significantly lower recombination rates were found for SNPs with lower MAF (P < 0.005).
We used sleeping HR, step recovery HR, and estimated VO2max as dependent CRF variables.
Force of infection can be estimated as time-dependent, age-dependent, or both.
A sensitivity analysis was carried out with pooled logit models estimated as well as an alternative dependent variable.
The averages of the three NT estimates were used as dependent measures in a mixed model repeated measures ANOVA with between subjects factor Group (ASC, NC) and within subjects factor Condition (BM, SO, UO).
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