Saddlepoint approximation, exact and approximate unconditional, and bootstrap-resampling methods are developed to calculate p-values of the Wald-type, score and likelihood ratio tests.
Once an optimal LCA was developed, a bootstrap method was used to assess whether patients with different patterns of IOP change have different susceptibility to POAG.
Therefore, these P values and the associated confidence intervals were estimated based on a bootstrapping method that was developed for the case-cohort design, as described previously [53].
Therefore, these P values and the associated confidence intervals were estimated based on a bootstrapping method that was developed for the case-cohort design [41].
In this paper, the bootstrap method was used to estimate the frequency of a signal.
A bootstrap method was incorporated to estimate uncertainty and generate more robust predictions of performance.
Bootstrap method was utilised to calculate the CIs for AUC.
A practical bootstrapping based method, IsoDE, was developed for analysis of differentially expressed genes in RNA-Seq datasets.
Also, a bootstrap method is proposed to obtain critical values.
A bootstrap method is also discussed, and its performance is evaluated through simulations.
