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There is a risk of errors' and misconceptions' being introduced if the primary investigators who are intimately familiar with the data are not involved.
There is a risk of errors persisting even after processing prior to publication of HES data, and these are known to be more frequent in more specific diagnosis codes and to vary between geographical regions (North West England has one of the lowest error rates) [ 14].
A key informant from Centre B explained "[If] we tried to do it [implement IMRT] on our own then the learning curve is long, there is a risk of errors, setbacks,...but if we go with a centre that has done this in an established way, with protocols and... share knowledge, we could wrap this up faster" (KI 2A).
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Something inside him, which could perhaps, without too great a risk of error, be called the writer's spirit, trapped him in a limbo of apparent passivity, and began to harden or change him, or prepare him for future surprises.
In 5 to 10% of cases, PGD carries a risk of error.
The parameters of the exponential distribution were derived from the distribution of the collected OD values and a risk of error in order to discard false-positives.
These intervals were used to fix the limits of normal values in order to identify the patients exhibiting abnormal data with a risk of error less than 5%.
To the best of our knowledge, such a method for estimating a risk of error from a test situation is not described by others, and may be a contribution to future research.
Errors may also vary substantially in space and there is a risk of error propagation in more complex datasets (e.g. land cover maps are needed to derive crop distributions, which are needed to disaggregate fertilizer statistics).
If 39 or more of these 63 evaluable patients are still free of biochemical relapse at 24 months, we may reject the null hypothesis H0: Π ≤ 50 % with a risk of error of 3.85 % and a power of 93.5 % to detect the alternative hypothesis H1: Π ≥ 70%%.
We used trimmomatic software (http://www.usadellab.org/cms/?page=trimmomatic) to remove low-quality reads and low-quality 3′ ends of reads, keeping only reads ≥50 base-pairs long, with nucleotides >Q27 (equivalent to a risk of error of <0.2% per read per base-pair).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com