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This study highlights potential problems, as well as some solutions, of linkage mapping construction with moderately error prone markers.
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As the recall period of the questionnaire used on QoL and on the healthcare-related costs was four weeks, and as work-related events are likely to have fluctuated only slightly or moderately, errors in the recall may have followed.
Interestingly, the ML source trees had only moderately high error rates (about 20%) for the lowest scaffold rate-a case where MRP-ML had average error above 80%; a similar, but less extreme, situation presents for the 50% all-scaffold datasets.
The results indicate a moderately low error and very robust behavior against noise and artifacts.
The haploid extracted sample shows a moderately increased error rate at high coverage values, but our overall estimate of Q is still well above what is considered high quality for a consensus sequence.
It is observed that the curves diverge moderately in the error-prone period and then converge gradually in the error-free period.
For our application, however, it was found to be only moderately successful, with errors in estimating ψ limiting achieved PRIAL and increasing the proportion of replicates for which penalization was detrimental.
If the difference between assumed and true value is <0.06mm, the error is moderately low (<6% blood volume).
This is especially a problem if the sample size is moderately small and the error distribution is heavy tailed (17, 18).
Such elevated counts could lead to a sequence of large positive forecast errors if monitoring were based on the non-hierarchical model, but only to moderately large positive forecast errors if based on the hierarchical model.
However, in our study, the standard errors increased moderately.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com