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The maximum temporal cluster size was 50% of the study period.
Using the maximum temporal cluster size of 50% of the total population, one most likely cluster was identified (Table 4).
A maximum spatial cluster size of 50% of the population at risk and maximum temporal cluster size of 50% of the study period were used.
Analyses were implemented using daily time units, a significance level of.05, and a maximum temporal cluster size of 4 years.
For the purely temporal analysis, we used a discrete Poisson probability model using a maximum temporal cluster size of 1-year and a 1-year time aggregation.
The program was implemented using weekly time units, a p-value cut-off of 0.05 with a maximum temporal cluster size of 60 days.
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The maximal temporal cluster size was set to 30 days.
Temporal scans run for the entire study period, with 50% of the study duration as the maximum temporal window, showed the most likely cluster of high lung condemnation rates took place from 2001/1/8-2001/9/11 (p = 0.0001) and the most likely cluster of high kidney condemnation rates occurred during 2001/10/30-2004/2/24 (p = 0.0001) (Table 8).
However, the localization of the maxima within the temporal clusters suggest that these clusters represents, at least partially, the auditory cortex.
Clusters were identified as a maximum cluster size of 50% of case data and a maximum temporal window of 50% of the study period (Technical Appendix, Geospatial Analyses).
To control for multiple statistical comparisons (timepoints) within each ROI/electrode, we performed permutation inference and temporal cluster correction72.
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