Published June 7, 2021 | Version v1.0
Software Open

t-pollington/developments_tau_statistic: First release

Creators

  • 1. University of Warwick (MathSys)
  • 2. University of Warwick
  • 3. University of Oxford
  • 4. London School of Hygiene & Tropical Medicine

Contributors

Contact person:

  • 1. University of Warwick
  • 2. London School of Hygiene & Tropical Medicine

Description

Code release archived on Zenodo from the following paper:

@ARTICLE{Pollington2021, author={Pollington, T.M. and Tildesley, M.J. and Hollingsworth, T.D. and Chapman, L.A.C.},
volume = {42},
pages = {100438},
year = {2021},
note = {Towards Spatial Data Science},
issn = {2211-6753},
title={{Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic}},
journal={Spatial Statistics},
doi={10.1016/j.spasta.2020.100438},
url = {https://www.sciencedirect.com/science/article/pii/S2211675320300324},
keywords = {Second order dependence, Pointwise confidence interval, Bias corrected accelerated BCa, Percentile confidence interval, Spatial bootstrap, Graphical hypothesis test} }

Notes

Please contact Timothy M Pollington as corresponding author on timothy.pollington@gmail.com for any assistance. TMP, LACC & TDH gratefully acknowledge funding of the NTD Modelling Consortium by the Bill & Melinda Gates Foundation (BMGF) (grant number OPP1184344) and LACC acknowledges funding of the SPEAK India consortium by BMGF (grant number OPP1183986). Views, opinions, assumptions or any other information set out in this article should not be attributed to BMGF or any person connected with them. TMP's PhD is supported by the Engineering & Physical Sciences Research Council, Medical Research Council and University of Warwick (grant number EP/L015374/1). TMP thanks Big Data Institute for hosting him during this work.

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Additional details

Related works

Is supplement to
Software: https://github.com/t-pollington/developments_tau_statistic/tree/v1.0 (URL)
Journal article: https://www.sciencedirect.com/science/article/pii/S2211675320300324 (URL)

References