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To determine the reliability of the prognostic effects of markers significant in univariate analysis, bootstrapped replications of the data were analysed.
Rather than performing split-group analysis, all multivariable models were validated and 95%CI obtained through 200 bootstrapped replications of the data [12], [13].
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Here, the LASSO is applied to several bootstrapped replications of a given sample.
Fig. 1 Bootstrap replications of the cost-effectiveness plane.
COPM-P Fig. 2 Bootstrap replications of the cost-effectiveness plane.
To address this limitation, we conducted 1000 bootstrap replications of the three stepwise linear regression models.
Internal validation was done with 2000 bootstrap replications of the model.
The statistical support for the ML tree was evaluated using 100 bootstrap replications of the initial ML search.
The 95% prediction interval was obtained from the variance covariance matrix defined by 1,000 bootstrap replications of the final model.
* Median ICER = 50th percentile of the 2,500 bootstrap replications of the ICER lower and upper bounds = 2.5th and 95.5th percentiles of the bootstrap distribution.
Confidence intervals were calculated for each estimated bleeding probability using the variance covariance matrix derived from 1,000 bootstrap replications of the exposure bleeding model.
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