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The way the data from various studies is divvied up or combined in a meta-analysis can make a big difference in the conclusions.
We tested that there was no difference in the conclusions by either taking the threshold at 5% or 20%, thus indicating that results are robust.
We carried out pooled analyses including either the case/control comparison or the TDT subgroup from that study; there was no material difference in the conclusions whichever population was included (data available on request).
There was no difference in the conclusions we reached by either method.
As long as the sample size is even moderate (>20) for each group, quite severe departures from normality make little practical difference in the conclusions reached from these analyses [ 32].
Again, we find no significant difference in the conclusions to be drawn from the data when quantification of phosphorylated proteins is compared to their respective total proteins or β-Actin.
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The underlying reason is that the line predicting true endpoint from potential surrogate endpoint has a sufficiently different slope for each randomization group to make a substantial difference in the conclusion.
Maybe the use of so many microorganisms growing under such different growth conditions could explain, at least in part, the differences in the conclusions reached by authors regarding the best-fitting model.
Hence it is interesting to examine the differences in the conclusions obtained when statistical tests are used to compare the performance of prediction methods based on the empirical estimates of their performance on the UPDS, SRDS1, SRDS2, SRDS3, and WPDS versions of the datasets.
However, there are some important differences in the conclusions reached.
This controversy has recently been rekindled by differences in the conclusions based on neuroanatomical data concerning the chelifore and the patterns of Hox expression.
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