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The medically relevant value of this data is the potential to identify the genes underlying disease for the purpose of developing treatment or even prevention.
A problem related to the lack of data is the potential presence of small disjuncts [3, 35] in the data associated with each Map, also as a consequence of the data division process.
A major criticism from peer reviewers of papers using EMR data is the potential for inaccuracies in diagnosis.
A major benefit of proteomic and genomic data is the potential for developing thousands of novel diagnostic and analytical tests of cells, tissues, and clinical samples.
Complicating the interpretation of opsin expression and MSP data is the potential for coexpression of two or more visual opsins in a cone cell.
Of concern in self-reported dietary data is the potential for under-reporting of energy intake [ 59] which would lead to underestimation of toxic exposures.
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The main limitations of this data are the potential biases introduced by the self-reported levels of physical activity, and misclassifications due to inaccurate recall.
One concern noted about the data was the potential effect of recall bias in the case control studies, although this was thought to be an unlikely explanation for all of the observed associations.
The operation of the register, not the ownership of the data, is the key to the large potential profits from title insurance.
In addition, since we included only those participants with 12 months of follow up data, there is the potential for survivorship bias.
Secondly, with such a large data set there is the potential for the original source data to have been incorrectly documented.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com