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Exact(51)
The Poisson regression model was fit using backward stepwise modeling procedures until all remaining variables in the model were significant (α = 0.05).
Results showed that all variables used in the linear mixed model were significant ( p < 0.05).
All factor loadings in the model were significant at p < 0.001.
All estimates in the model were significant at p < 0.001, unless otherwise stated.
All of the factor loadings in this model were significant; however, not all items were collectively reliable measures of the construct under investigation.
All parameters in this regression model were significant at p < 0.05 and it was able to explain most of the variation in the data set.
Similar(9)
The method regards a gene as DE if the coefficients of its fitted model are significant for any time variable.
The overall model was significant (P=0.0013) as was Hsd (P<0.0001).
The overall model was significant as were all variables (P<0.05).
This value indicated that the quadratic model was significant.
The results of the validation showed the model was significant.
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