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The false discovery rate of the AMT tag analysis was estimated using an 11-Da shift strategy as previously described [27].
The relationship matrix used in the analysis was estimated using genomic data with the "ibs" (option weight = "freq") function of GenABEL.
Cost-effectiveness analysis was estimated using incremental cost-effectiveness ratios (ICER).
The heterogeneity of the trials for each pooled analysis was estimated using the χ test and I test.
Incremental analysis was estimated using as baseline the least cost-effective strategy (clinical) and moving to either microscopy or RDT.
The variance from the sample preparation and analysis was estimated using data from all sub-samples formed by automatic or manual sampling.
The statistical power of the analysis was estimated using the effects size conventions of 0.1, 0.25, and 0.40 for small, medium, and large effects, respectively, using G*Power version 3 [ 31].
Correlation between traits used in the QTL analysis was estimated using Pearson's correlations (PROC CORR) for normally distributed traits and Spearman's correlations (PROC CORR) for correlation between traits and the binary SMOLT phenotype.
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K2' and t* values for the Logan reference analysis were estimated using a two-tissue reference model.
Relative rotation of the connection θ r calculated from the results of FE analysis is estimated using the following equation: theta_{r} = frac{{delta_{t} - delta_{text{b}} }}{h} (1 where δ t and δ b are the horizontal displacements at the upper and lower edges of beam flanges, respectively, and h is the beam section height.
Stereological analysis were estimated using a fractionator sampling design [ 55].
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