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Bootstrap confidence limits were obtained by 1000 replicates in both ML and NJ analysis.
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Confidence limits were estimated by a bootstrap algorithm applying 1,000 iterations (29 ).
To test the null hypothesis of no spatial structure, confidence limits were calculated using permutation and bootstrapping (999 interactions).
Confidence limits are 95% Wald confidence limits.
Prevalence estimates were provided with Clopper-Pearson 95% confidence intervals [ 25] whereas mean intensity estimates were provided with bootstrap confidence limits [ 24].
aMLE (maximum likelihood estimate) of the point estimates are shown with 95% bootstrap confidence limits.
Bootstrapped confidence limits of S were calculated using the Poptools add-in for Microsoft Excel [ 27].
The bootstrap confidence values were based on 1000 replicates.
All randomization p-values and bootstrap confidence intervals were based on at least 1,000 permutations/bootstraps.
90% bootstrap confidence intervals were computed using the percentile method.
ML bootstrap confidence values were based on a 1000 replications.
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