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Each agent initializes its plan with a randomly selected PoA using a probability of 50%% for the center and 25%% each for urban and outskirts areas.
Classification accuracy was maximized using a probability of diabetes of 0.42.
Using a probability of membership threshold of 70%, 164, 29 and 17 lines were assigned into the three groups, respectively.
The number of repaired DSBs, r Z i, j (t), is calculated using a probability of DSB repair.
Multivariate analysis was performed by forward stepwise selection using a probability of P < 0.05 in the likelihood ratio test as a criterion for inclusion.
Streams were considered replicates and a treatment by reach interaction effect was analysed for statistically significant differences using a probability of alpha 0.10 (Table 2).
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We used a probability of p ≤.05 (two-tailed).
As a default, SPSS uses a probability of entry of 0.05 and a probability of removal of 0.10 (SPSS Inc., Chicago, Ill).
We used a probability of moving from T2D to IGT of 0.5% for both the no-intervention and intervention groups.
We processed data in SPSS and used a probability of p ≤ 0.05 (two-tailed) to establish statistical significance.
In the base case analysis, this probability was set at 35% per cycle, while the sensitivity analyses used a probability of 0% and 100%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com