The inclusion of an assessment of "stability" facilitates determination of the most robust variables and hence presumably important biological information.
The average size of the 15-year survival Cox proportional hazards model (middle row, left column, Figure 1) indicates that for an assay based on these protein covariates, it is optimal to keep only the four most robust variables, AURKA, BCL2, CD68 and MYBL2, in a simplified survival model.
The other most robust variable is the seniority of personnel since in none of the specifications, either single or bootstrapped, were the estimates statistically significant.
Time to restoration of spontaneous circulation, no-flow time, and adrenaline dose were closely correlated to each other, so we included only adrenaline dose as the most robust variable in the model to cope with co-linearity.
The expected model size with the highest performance level consists of 10 of the most robust predictive variables and is comprised of four clinico-pathological variables and six additional proteins: nodal status, tumor size, AURKA, BCL2, age, CD68, HER2, MYBL2, CCNB1 and GSTM1.
Thus, the most robust explanatory variables (effectiveness) influence active acceptability directly, whereas the remaining factors influence active acceptability indirectly as strong predictors of attitudinal acceptability.
However, within the frame of the present study, male gender and not neonatal oxygen treatment appeared as the most important and most robust explanatory variable.
However, CM1, CM1a, and CM1b were found to be the most robust of all variables in PLSR.
Column 7 is likely the most robust specification, with instrumental variables and dummies at the municipal level.
MRRMRR performs as the most robust approach among other variable selection procedures, while the choice of the weights for the robust relevance measure seems to play a negligible role.
In summary, Sustained Attention emerged as the most robust predictor of number sense variables and Phonological Decoding and the Dot Matrix task were also predictors in some analyses.
