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A codon optimised oligosaccharyltransferase gene (pglB) was tested and quantified using Western blots and pseudo Selected Reaction Monitoring (pSRM) (see Pandhal et al. [8]).
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Statistical heterogeneity was investigated using the chi-square test and quantified using the I statistic.
Statistical heterogeneity between studies was tested by chi-square-based Q test and quantified using I-squared test.
Statistical heterogeneity in each meta-analysis will be assessed using the χ test and quantified using the I statistic.
Statistical heterogeneity between study results was tested for significance using Cochran's Q-test and quantified using the I² statistic [ 20].
Statistical heterogeneity between study results will be tested for significance using Cochran's Q-test and quantified using the I2 statistic [ 38].
28 The heterogeneity test for pooled HRs was verified using the Cochran Q test and quantified using the Higgins I statistic.
Statistical heterogeneity between study results will be tested for significance using Cochran's Q test and quantified using the I2 statistic.
Heterogeneity will be assessed using the χ² test of homogeneity, and quantified using the I statistic.
We will include data from eligible cluster RCTs in relevant meta-analyses after controlling for the design effect, using the intracluster correlation coefficient (ICC) derived from the same or a similar published cluster RCT. 15 16 Statistical heterogeneity in each meta-analysis will be assessed using the χ test of homogeneity and quantified using the Higgins' I statistic.
Heterogeneity across centres was assessed using Cochran's Q test (P<0.1 was considered statistically significant, given the test has limited power) and quantified using the I measure (the percentage of total variation across centres attributable to heterogeneity rather than chance) (Higgins and Thompson, 2002).
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