Bootstrap methods form a class of non‐parametric resampling techniques used to assess the variability and distributional properties of statistical estimators. By repeatedly drawing samples with ...

Clustered data arise when observations are organised into groups—such as patients within hospitals, students within schools or repeated measures on the same subject—so that measurements within a group ...

Abstract. Sparked by Efron's seminal paper, the decade of the 1980s was a period of active research on bootstrap methods for independent data- mainly i.i.d. or regression set-ups. By contrast, in the ...