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interest 320 3.2 0.8 161 3.0 0.9 481 3.1 0.8 Fig. 3 Marginal means (with SE Bars) of gendered a robotics experience, b robotics interest, c programming experience, and d programming interest, by age.
Differences between treatment groups were estimated using marginal means, with Sidak's adjustment for multiple comparisons.
Estimated marginal means with 95% confidence intervals.
Linear regression estimates for all categorical variables were reported as marginal means (with 95% CIs).
Marginal means with confidence intervals (C.I). at 95% were calculated from predictions at mean values of covariates and averaging over symptoms at the follow-up.
The exponential parameter estimates are equivalent to the ratio of the estimated marginal means with the denominator being the reference category.
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The joint effects of the SNPs was assessed by calculating the estimated marginal mean with 95% confidence intervals (CIs) in a general linear model (including sex, age, BMI and study cohort as covariates), categorized by the number of risk alleles assuming an additive genetic model.
Table 3 presents results for the marginal mean with the imputation procedures applied following transformation to the shifted log scale.
Data are estimated marginal means (SEM) with the mean (95% CI) differences in changes between the groups at each time point.
In this article, marginal means of counts with unexplained heterogeneity were modeled using two-component finite mixture distributions.
Estimated marginal means proportion correct, with standard error in parentheses.
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