Early use of media reporting for the surveillance system may mean that data are missing or incorrect (due to use of potentially biased or inaccurate media reports) between January 2008 and the start of active surveillance in 2009.
The ranking did not consider the selection of specimen level data, i.e., the use of a range of statistics to assess the quality of the paleointensity experiment (see, e.g., Paterson et al. (2014)), which may influence the site mean data.
"I believe people should be able to use any app they wish on their phone without fear that granting access to sensitive data may mean that this data will be quietly sent off to some entity who they do not know and do not have any desire to do business with," said Will Strafach, one of the researchers.
Our failure to confirm this with gene-expression data may mean that the data that we analyzed was inappropriate to the conditions of our experiments.
However, category saturation was achieved within the data, although the difficulties of recruiting GPs may mean that the data may not represent the views and experiences of GPs in all participating practices.
Finally, the methodological differences in calculation of probabilities for disease onset, progression and mortality, and assumptions made during the calculations, may mean that combining data from different studies may reduce the reliability of these inputs.
By contrast, keeping old datasets in proprietary formats may mean that the data are effectively unreadable in a few years.
This may mean that unpublished data, such as in government reports, pharmaceutical company reports, and academic theses, were not identified by the literature search.
For example, no contacts listed in the contact database may mean that no data was collected electronically or that the task was never performed.
