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One potential source for error stems from patient positioning.
Recall bias is a primary source for error in the study of occupational exposure to heavy metals.
Another source for error in the air pollution estimates may be the distance between maternal residence and the air monitoring stations used to assign exposure.
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An alternative source for errors may be those inherent in mRNA transcription within the T cell.
Another area of potential source for errors is the variability in time period between the weight measurements during pregnancy (range 3 295 days), requiring us to extrapolate the pregnancy weight gain for each woman.
Some of the sources for error are easily addressed.
Because sequence alignment is only one of many sources for error in sequence alignment, the permissible margin of error depends on many factors.
Although, there are still many flaws and sources for error.
▪ Computerised systems can be used to check clinical source data for error.
There are, however, several sources for errors, in particular in the presence of RNA editing e.g. in the mitochondrial tRNAs of many plants and the protist [ 57- 60].
Here, we describe a potential source for systematic error in the calculation of hemoglobin changes and light intensity measurements.
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