Simulations suggested that the correlation between breeding values for mean and log squared estimated residuals is consistent with the sign of the true correlation, but the quality of this estimate as an approximation of rmv depended on the magnitude of the genetic variance of residual variance.
Pearson correlation coefficients between estimated breeding values for the mean and variance sub-models using DHGLM2 were all significantly different from zero, but differed substantially between transformations (0.42, -0.17 and 0.14 for untransformed, log-transformed and square root transformed data, respectively).
Observed and predicted height growth matched quite well in Arnoldstein, and there was little deviation between observed and predicted values for both mean and maximum values.
The best linear correlation coefficient (R), and root mean squared error (RMSE) between the estimated and measured values for monthly mean air temperature with ANN and remote sensing method were found to be 0.991 1.254 K, respectively.
χ tests were performed to test the differences between imputed values and observed values for the means, minimum and maximum values.
Indeed, differences were detected between mean values for the tissue integrity parameter between biopsies obtained after NaCl- and glycerol-based bowel preparations, the former showing better results (Tables 1 and Additional file 1: Table S1).
One correlation was found between mean values for AL and ACD (R = 0.388, P = 0.005); no other correlations were found between mean values or values of standard deviation of AL, ACD, or CT.
Statistical differences between mean values for the experiments were evaluated by Student's t-test using GraphPad Prism software.
Differences between mean values for qPCR results of either mRNA expression or ChIP experiments were analyzed by t test.
