Statistical experiments, more commonly referred to as Monte Carlo or simulation studies, are
used to study the behavior of statistical methods and measures under controlled situations …

Difference-in-differences combined with matching on pre-treatment outcomes is a popular
method for addressing non-parallel trends between a treatment and control group. However …

PSD-95 is a prominent organizer of the postsynaptic density (PSD) that can present a
filamentous orientation perpendicular to the plasma membrane. Interactions between PSD …

The authors propose a bootstrap procedure which estimates the distribution of an estimating
function by resampling its terms using bootstrap techniques. Studentized versions of this so …

This paper considers the problem of constructing confidence intervals for a single parameter
θ in a multiparameter or nonparametric family. Hybrid resampling methods, which" …

We show that, when the double bootstrap is used to improve performance of bootstrap
methods for bias correction, techniques based on using a single double-bootstrap sample …

In some cases, such as in the estimation of impulse responses, it has been found that for
plausible sample sizes the coverage accuracy of single bootstrap confidence intervals can …

This article describes SimEngine, an open-source R package for structuring, maintaining,
running, and debugging statistical simulations on both local and cluster-based computing …

Even in one dimension the sample median exhibits very poor performance when used in
conjunction with the bootstrap. For example, both the percentile‐t bootstrap and the …

Prepivoting by conventional bootstrap iteration is known to yield a progressively more
accurate pivot in certain problems, and has important application in the construction of …