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Statistical analysis: Descriptive analysis was done by calculating frequency and percentages.
Data analysis was conducted using pivotTables in Microsoft Office Excel 2003 calculating frequency and corresponding percentages to describe the responses to the survey questions for all participating health professionals and combining the data for all four SEA countries.
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We performed the descriptive analyses of maternal and infant demographic, anthropometric, and clinical baseline characteristics and of independent and dependent variables by calculating frequencies and percentages of the discrete variables.
SPSS v 18 was used in our analysis for calculating frequencies and cross-tabulations.
For initial analysis, data were analyzed according to the experimental group by calculating frequencies and measures of dispersion as appropriate.
First, they reduce error estimation as shown in simulation results; Second, they are able to calculate frequency and detect faults and power swings.
At the baseline visit we calculated frequency and percentage of demographic characteristics, serologic testing and vaccination history, test results, drug and sexual risk behavior and willingness to participate in future HIV vaccine trials.
We calculated frequencies and proportions and used Chi2-test (or Fisher's exact) and Student's t-test (parametrical) or Wilcoxon rank-sum (non-parametrical data) to compare proportions and medians, respectively.
For categorical covariates, we calculated frequencies and percentages.
We calculated frequencies and conducted descriptive statistics to explore participant characteristics and responses.
We calculated frequencies and proportions of STEC serogroups separately for food and patient isolates.
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