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Code analysis

The code analysis for Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic is available to run in R Markdown (including instructions) or read in PDF format.

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We kindly request that you cite the full paper as follows:

@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} }

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