A robust Pearson correlation test for a general point null using a surrogate bootstrap distribution
Year: 2019
Type: article
Abstract: In this note we present a robust bootstrap test with good Type I error control for testing the general hypothesis H0: ρ = ρ0. In order to carry out this test we use what is termed a surrogate bootstrap distribution. The test was inspired by the studentized permutation for testing H0: ρ = 0, which was proven to be exact in certain scenarios and asymptotically correct overall. We show that the bootstrap based test is robust to a variety of distributional scenarios in terms of proper Type I error control.
Source: PLoS ONE
Author: Alan D. Hutson
Institution: Roswell Park Comprehensive Cancer Center
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,595
Awards: G1291646684, G1308892644, G1547066098, G215985982, G2838565599, G3073758070, III: Medium: High-Dimensional Interaction Analysis in Bio-Data Sets, G6062084349, G6478071814, G8287816816, Roswell Park Ovarian Cancer SPORE, Roswell Park Cancer Center Support Grant, NRG Oncology - Statistical and Data Management Center
OpenAlex ID: W2945707066