Each line is explained using line comments.
Among the strengths of the study are the complete billing data of participating physicians, and, in contrast to other research [ 27], a considerable amount of variance in cost outcomes could be explained by statistical models used in the study.
These inconsistencies can partly be explained on statistical grounds since researchers use different research strategies and model selection criteria [ 80].
It is not clear whether the difference in findings can be explained by the statistical methods used or by the different well-being measure.
The discrepancy between these studies could be explained by the using of different statistical methods.
Differences between our results and previous studies [1, 2, 7, 19], which demonstrated an association between RBC transfusion and infection, may be explained by the use of different statistical analysis methods.
This can be explained from genetic and statistical perspectives.
This might be explained by a lack of statistical power.
A random effects model was used to combine results as it incorporates statistical heterogeneity that cannot readily be explained.
All statistical analyses were performed using statistical software (Statistica, StatSoft).
