To present a resampling approach to obtain confidence intervals (CIs) and the empirical distributions for the studentized regression residuals percentiles when used as cutoff points for overweight and ...

Bootstrapping is a widely used statistical learning technique that falls under the broader category of resampling methods. Bootstrapping is typically used in the estimation of various statistics and ...

Approximately unbiased tests based on bootstrap probabilities are considered for the exponential family of distributions with unknown expectation parameter vector, where the null hypothesis is ...

You can specify the following options in the PROC MULTTEST statement. If the PERMUTATION= option is used with the CA test, the exact permutation distribution is recomputed for each bootstrap sample.

This is a preview. Log in through your library . Abstract This paper considers the issue of bootstrap resampling in panel data sets. The availability of data sets with large temporal and ...

In the article accompanying this editorial, Muller et al 29 reported a lung cancer risk prediction model incorporating lung function in the UK Biobank prospective cohort study. In their study, they ...