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Furthermore, the practical utility of the additional information provided by the bootstrap model selection procedure in prognostic modeling is demonstrated.
When a variable was selected in each of the replications, the inclusion frequency was 100% * - outcome measure Tables 4, 5, 6 and 7 show the results of assessing model stability by the bootstrap model selection procedure.
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As illustrated by our study, the bootstrap model selection procedure may provide valuable additional information on model stability when deriving a prognostic model in multiple imputed data.
Discrimination was also assessed by comparing the C-statistics results of the original model with the bootstrap modelling results [ 32- 35].
It's as if Hazanavicius were criticizing the pull-yourself-up-by-the-bootstraps-and-start-your-own-business model for escaping from unemployment, as well as the retraining-and-retooling model.
But Mr. Obama is hardly a by-the-bootstraps insurgent.
In prognostic modeling missing data needs to be handled by MI and bootstrap model selection is advised in order to provide information on model stability.
The average improvement in relative accuracy by the bootstrap method often offers models with the same accuracy but less complex rules.
Predictor variable abbreviations are indicated in Tables 1-6. Figure 1 shows the median values of AUC, obtained for each model by the bootstrap resampling method, in training and testing data (continuous and dashed lines, respectively) in relation to the dimension of each best subset of features identified by the stepwise procedure on training data.
These results are confirmed by the bootstrap estimates of the robust regression model after adjusting for hospital characteristics.
The stability of the final model was shown by the bootstrap analysis (Table 3 ).
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CEO of Professional Science Editing for Scientists @ prosciediting.com