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At large sample sizes, many asymptotic properties of test statistics derived for independent sample comparison are still applicable in adaptive randomization provided that the patient allocation ratio converges to an appropriate target asymptotically.
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A split sample comparison is conducted for estimating the values tourists give to a set of landscape attributes.
One sample comparison is shown in Fig. 7(a).
† Sample comparison was done by the T-Test.
§ Sample comparison was done by the nonparametric Mann Whitney U-Test.
Each time point-to-reference sample comparison was carried out on two arrays, with the dye labels exchanged between the replicated hybridisations in order to avoid sequence-dependent labelling and hybridisation effects.
The generation of SWIFT cluster templates and their use in sample comparisons are demonstrated in Tutorial 3 (see Supporting Information).
All pairwise population sample comparisons were replicated with different random number seeds.
The P Test significance (p-values) for each pair of sample comparisons was obtained using 1,000 permutations.
P values for tumor growth were calculated by Kaplan-Meier Time to Progression method, and p values for two sample comparisons were calculated by two-sided Wilcoxon Rank-Sum test.
Two sample comparisons were done by paired sample t test.
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