This repository contains the data and Matlab code used in our paper "How unbiased statistical methods lead to biased scientific discoveries: A case study of the Efron-Petrosian statistic applied to the luminosity-redshift evolution of Gamma-Ray Bursts", by Bryant et al. If you use any parts of this project's results, data, or source codes, please cite the paper (currently under review) whose bibtex is provided below,
@ARTICLE{2020arXiv201002935B,
author = {{Bryant}, Christopher and {Osborne}, Joshua Alexander and
{Shahmoradi}, Amir},
title = "{How unbiased statistical methods lead to biased scientific discoveries: A case study of the Efron-Petrosian statistic applied to the luminosity-redshift evolution of Gamma-Ray Bursts}",
journal = {arXiv e-prints},
keywords = {Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Instrumentation and Detectors, Statistics - Applications},
year = 2020,
month = oct,
eid = {arXiv:2010.02935},
pages = {arXiv:2010.02935},
archivePrefix = {arXiv},
eprint = {2010.02935},
primaryClass = {astro-ph.HE},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020arXiv201002935B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}