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Exact(6)

Within each variety analysis of variance ANOVA was used to test the main effect using SPSS software (IBM SPSS version19).

We estimated the main effect using a propensity score weighted pooled logistic regression.

The HHIP region was previously highlighted in the GWAS of FEV1/FVC focus on gene main effect using FHS data.

One-way ANOVA analyses were carried out for each metabolite with the RIL (genetic factor) as the main effect using REML method.

Third we assessed the interactions of the intervention according to the baseline scores for the outcome variables by adding interactions to the analysis of the main effect using GEE in order to examine in more detail the effects of the intervention program.

In each analysis, we first assessed the PM main effect using separate models for the 1-day, 7-day, 30-day, and 365-day average PM10 and PM2.5 concentrations and then the interactive effect between PM and treatment arm for each PM concentration.

Similar(54)

We consider estimation of main effects using two-level fractional factorial designs under the baseline parameterization.

Statistically reliable interactions were elucidated by examining the simple main effects using pair-wise comparisons.

To assess the reproducibility of our main effects using group ICA (Figure 2), we compared the findings of each split-half analysis qualitatively (by visual inspection) as demonstrated in Figure S2.

Any interactions along the lines described above are not separately identifiable from the main effects using the main effects-only design employed here.

Planned comparisons were carried out using simple main effects using the mean square error term from the original interaction (Winer 1971).

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