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Data analyses include Cronbach's alpha reliability analysis, mean testing using significance index, and exploratory factor analysis.
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b Difference in means tested using the independent t-test.
b t test for differences between means (tested using the lincom command in STATA for svymeans).
We performed mean contrast testing using Duncan's new multiple range test (SAS).
This means that hemoglobinopathy testing using protein separation methods such as HPLC or CE comes under the GenDG.
The final permuted p-values were obtained by means of hypothesis testing using 50,000 permutations of the group labels.
The significance of the categories was evaluated by means of hypothesis testing using 50,000 permutations of the group labels.
Differences in means and medians were testing using t-tests and Mann-Whitney U tests, respectively.
Differences in means were tested using the unpaired t test for two means or analysis of variance for several means, whereas the difference in medians was tested using the Mann-Whitney U test.
The difference between means was tested using Duncan's Multiple Range Test at P < 0.05.
Least squares means were estimated and differences between least squares means were tested using the PDIFF option in SAS.
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