18 citations · 82 across the 18 of their papers we have counts for
20 papers
A note on switching eigenvalues under small perturbations
Marina Masioti, Connie S-N Li-Wai-Suen, Luke A. Prendergast +1
Sensitivity of eigenvectors and eigenvalues of symmetric matrix estimates to the removal of a single observation have been well documented in the literature. However, a complicatin…
Extending the coefficient of variation for measuring heterogeneity following a meta-regression
Maxwell Cairns, Luke A. Prendergast
Meta-regression is often used to form hypotheses about what is associated with heterogeneity in a meta-analysis and to estimate the extent to which effects can vary between cohorts…
On choosing optimal response transformations for dimension reduction
Marina Masioti, Luke A. Prendergast, Amanda Shaker
It has previously been shown that response transformations can be very effective in improving dimension reduction outcomes for a continuous response. The choice of transformation u…
On ratio measures of population heterogeneity for meta-analyses
Maxwell Cairns, Luke Prendergast
Popular measures of meta-analysis heterogeneity, such as , cannot be considered measures of population heterogeneity since they are dependant on samples sizes within studies.…
Mean skewness measures
Chandima N. P. G. Arachchige, Luke A. Prendergast
Skewness measures can be used to measure the level of asymmetry of a distribution. Given the prevalence of statistical methods that assume underlying symmetry, and also the desire…
Confidence intervals for median absolute deviations
Chandima N. P. G. Arachchige, Luke A. Prendergast
The median absolute deviation (MAD) is a robust measure of scale that is simple to implement and easy to interpret. Motivated by this, we introduce interval estimators of the MAD t…