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While researching this topic, it was discovered that many papers did not report the strain rate in their tests, and the vast majority of papers did not correct their data for stress concentrations on the surface, either of which has been shown to cause variation in the data by one order of magnitude.
Whilst the majority of papers that used a statistical method described it and reported the numerical results with an error measure, many papers did not.
Many papers did not report on efforts to limit bias.
The quality of reporting of the validations also differed among studies, and many papers did not provide lists of the Read code algorithms that were used.
Furthermore, many papers did not measure or report circulating resveratrol levels which makes comparison across strains, species, and studies nearly impossible.
In their review of qualitative literature relating to barriers and facilitators to lifestyle change Murray et al. [ 6] commented that many papers did not link experiences to any time period, thus limiting comparison of factors affecting change.
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He said that he admired the desire for truth, but that many papers do not have such restrictions because they recognize that unfettered political discourse — though sometimes obnoxious or factually wrong — is part of democracy.
Because many papers do not provide enough information about what analysis was really conducted, and about why it was done, the reader is unable to evaluate the validity of the analysis.
Unfortunately, many papers do not comment on whether they have investigated the other gene at all.
However, it is difficult to compare the two systems since many papers do not describe the activity of the TSTA in non-target cells.
How many papers do you know in which a group determines all available necessary variables, such as sensitivity, specificity, positive predictive value, negative predictive value and overall accuracy?
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com