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We used multivariable logistic regression with a manual forward stepwise procedure with replacement.
This method does not require any assumptions on data distribution and corresponds to a resampling procedure with replacement.
We repeated this procedure with replacement for all nests in MT and AZ datasets and mean ± s.e.m. were calculated for Figure 2c, d.
A bootstrap method, consisting of a resampling procedure with replacement based on the generation of 10,000 replications of the ratio using traditional probabilistic sensitivity analysis (PSA), was used to obtain the non-parametric 95% CI for the ICER.
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One thousand resampling procedures with replacement were selected to approximate the sampling distribution of statistics of interest.
The bootstrap procedure with a replacement was again carried out in order to evaluate the effect of the variable selection.
This procedure was repeated with replacement 10,000 times.
The statistical significance of the pairwise differences was assessed using a bootstrapping procedure that sampled with replacement the ranks from each repetition.
This procedure involves sampling with replacement and refitting models on 100 distinct patient samples derived from the study population.
We performed a bootstrap procedure (1,000 draws with replacement) to obtain the bootstrap-adjusted c-statistic index.
The patient had a Bentall procedure with aortic valve replacement, complicated by cardiac tamponade 2 years earlier.
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