We performed internal validation of the modeling approach and the final model in two ways.
In the modeling process, a total of 100 models were generated and the final model was selected based on objective function of the MODELLER.
The identified levels aid in building the digraph and the final model of ISM.
The identified levels aid in building the diagraph and the final model of the ISM.
Next, we show the intermediate result after a first subdivision (step in Listing 2) and the final model after step.
According to the analysis of variance (ANOVA) all three independent parameters were statistically significant and the final model was accurate.
Fig. 32 Result of guide creation (left) and the final model visualization after surgical guide annotation and pin position placement (right).
Finally, regarding exceeding speed limits in built up areas, the same procedure was followed and the final model includes the following set of variables.
A stepwise selection was used, and the final model was adjusted on all variables associated with a p value below 0.2.
In addition, logistic regression was used to assess factors predictive of definitive anticancer treatment cessation, and the final model was defined using a stepwise method.
These levels help in building the diagraph and the final model (Tables 20, 21, 22, 23, 24, 25, 26, and 27).
