Ai Feedback
Exact(5)
A quantitative synthesis was not possible due to the difference in the measurement methods between the studies.
Under the influence of different measurement methods between sources and terminals as well as the impact of process technology, process parameters, process loss and environmental changes, the error of inventory reconciliation obeys the normal distribution that the mean is not zero actually.
Also, changes in dietary measurement methods between surveys conducted over many years apart make the interpretation of trends in dietary intake difficult.
Differences in measurement methods between the different cohorts is a limitation to the study that we have tried to overcome by using cohort specific cut-offs for quintiles and z-score standardization.
Additionally, in the present study we observed associations primarily with the shorter AGD measure (AGDas) whereas in the SFF study associations were stronger for AGDap (Swan 2008)—a difference that may be attributable partly to subtle differences in measurement methods between the two studies, but is largely unexplained.
Similar(55)
Such a discrepancy is mainly due to different measurement methods employed between the study carried out by Buchanan et al and the present study.
To accomplish this task, we used four different topological measurement methods: average gene between-ness centrality [ 44], average gene closeness centrality [ 45], and average gene correlation coefficients [ 44].
To further investigate the association between manual and automated measures, correlations between measurement methods were computed for the left and right hippocampi and for the different segmentation quality groups, and are presented in Table 1.
Validity was measured using a Bland-Altman plot, which measures bias between measurement methods as well as variability of scatter.
Moreover, the measurement methods were different between the two datasets.
The relationships between measurement methods was examined using single linear regression and Bland-Altman analysis.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com