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These individuals missed four or more test values which led to their exclusion from data analysis.
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Exclusions from data analysis included children who had extreme heights (< 120 cm or > 160 cm) or weights (< 22.7 kg or > 68.1 kg), children with severe illnesses or medical conditions (cystic fibrosis, chest operation, severe chest injury, heart conditions, or on oxygen after birth for two or more weeks) and children of extreme age for their grade level (under nine years or over 12 years).
Such failures occurred during the TP0 scan, necessitating complete exclusion of the patient from data analysis, in four cases, and at TP2, necessitating removal of TP2 data only, in nine cases.
These discrepant results are presumably explained by the superiority of TEE for studying pulmonary venous flow [ 12, 19], as reflected by the exclusion of 29% of eligible patients from data analysis in the study by Boussuges et al. due to poor imaging quality [ 15].
All patients were able to complete the study, and there were no exclusions in data analysis.
Poor performance on catch trials (less than 75% correct) was reason for exclusion of an observer from the data analysis.
This is equally true for the cases where insufficient detailed data forced exclusion from the analysis.
CX developed inclusion and exclusion criteria, contributed to the data analysis and interpretation of the data.
We therefore recalculated all data after exclusion of all patients who underwent more than one EBL procedures from re-entry into data analysis after first ligation session.
Exclusion of data from this channel through single-color data analysis greatly improved reproducibility to 0.850.
Exclusion from the analysis was lack of anthropometry measurements or SES data.
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