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This may explain the lack of improvement in predictive performance when extinction coefficients were included in the model.
The linear model analysis did not detect significant effects of population size or inbreeding level on heterosis in total fitness, when all inbreeding coefficients were included in the model (Tables 4 and S5).
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Both the additive and the dominance regression coefficients were included in the QTL model if the effect of the dominance regression coefficients was significant, regardless of the significance level of the additive coefficient.
Variables with statistically significant coefficients were included in the decomposition.
The coefficients are included in the graphical depiction of the model.
The regression coefficients remained significant when interactions between the protective factors and the number of adverse life events experienced were included in the model (models 2 and 4).
Nonresponse categories were included in the models, but their coefficients were not reported in the final table.
Only the additive regression coefficient was included in the QTL model if the effect of the dominance regression coefficients was not significant.
We also found that regression coefficients were similar if expression was included in the model as a matrix of continuous values for each organ instead of as a categorical variable of expression breadth (Supplementary Figure 6 and Supplementary Table 9).
The absorption from the medium was included in the model by modifying the extinction coefficient: where µ s is the scattering coefficient, µa is the absorption coefficient.
The resulting PM2.5 model was applied to all valid TSP monitoring stations; the nearest CMA core within 100 km was used to determine the CMA model coefficient for the PM2.5 model, otherwise no CMA variable was included in the model.
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