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Recording inaccuracies would be expected to have an influence on final and within trial recommendations and, in this paper, we study in greater depth this question.
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Inventory record inaccuracy (IRI) is a pervasive problem in retailing and causes non-trivial profit loss.
Inventory record inaccuracy leads to ineffective replenishment decisions and deteriorates supply chain performance.
This paper aims to answer these questions by considering a serial supply chain that has inventory record inaccuracy and operates under local base-stock policies.
It is difficult to quantify this but reports from the literature suggest up to 10% of the data recorded may contain inaccuracies [ 20] and ensuring completeness of data is likely to be an on-going challenge.
Because of the variable nature of radiology data systems presently in use, it may not have been possible to counteract these inaccuracies entirely in recording study numbers, despite the guidelines given for data collation.
This suggests over-reporting of the number of pregnant women receiving ARVs (the numerator, based on aggregate statistics using routine clinic records), or inaccuracies in estimating the number of pregnant HIV-positive women (the denominator).
Observational data might contain inaccuracies because of errors in recording the information.
Each interview recording was listened to thoroughly to check for inaccuracies in transcription.
By recording in completed months compared to more detailed time estimation, inaccuracy is reduced at the expense of precision.
Then it considers the more general circumstances where users compare any two thematic maps incorporating independent inaccuracies, to record changes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com