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We will introduce three different utility measures in this section: mutual information, ; the test, ; and frequency,.
Paired t test, McNemar's test, and frequency measures were used for data analysis.
Measurements and Main Results: Differences between the survival and nonsurvival groups were tested with the Student's t-test, chi-square test, and frequency analysis.
The limitations of the cellular radio network analysis using the traditional drive test and frequency scanning technology were discussed, which led to the inaccurate interference location and inefficient interference optimization.
Moreover, traditional regular testing methods including drive test and frequency scanning test cannot locate specific interfered frequency, interference levels of serving cell, and the location of interference source cell, which becomes a technical bottleneck for further detailed optimization of current radio network.
No statistically significant difference was found regarding condom use at last sexual intercourse, presence of STI symptoms during the last year, previous HIV test, and frequency of HIV testing between the arms of the intervention in either the gay and non-gay-identified MSM group (Table 1 and 2).
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We compared mean values using the standardized normal z test, and frequencies using chi-square test.
Data was de-identified and paired analysis performed using Wilcoxon signed rank test and frequencies calculated using SPSS® version 15.
Continuous values were compared by the Mann-Whitney test and frequencies or percentages were tested by the χ2 or Fisher exact test.
Continuous values were compared by the Mann-Whitney test and frequencies or percentages were tested by the Chi-squared or Fisher's exact test.
The mean values were compared between the study groups using the Student t test, and frequencies and proportions were compared using the χ test.
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