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AFFIRM (Aranesp Efficiency Relative to Mircera) was a retrospective, multi-site, observational study designed to estimate the population mean maintenance dose conversion ratio [DCR; dose ratio achieving comparable hemoglobin level (Hb) between two evaluation periods] in European hemodialysis patients whose treatment was switched from DA to PEG-Epo.
P-value by Bowker's test showed no significant differences in evaluation (p 0.072-0.88) in one observer classifying DEBIT in an MRI sequence or CT.> -wrap-foot> Intragreement agreement between two evaluation session for determination of DEBIT-nomenclature in 144 intervertebral disks obtained from 43 dogs.
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Further, the difference between two evaluations increased when a sample had a higher yield stress.
One sided p-value to kappa showed a highly significant correlation between two evaluations of the same observer (p <0.0001).
The higher the correlation between two evaluations the greater the reliability of the test in the diagnosis of MCI.
We used the Kappa test to measure the agreement between two evaluations of two raters, the naïve person and the first author.
Three homogenous groups were then formed according to the time between two evaluations: less than 6 months (n = 54), 6 to 9 months (n = 62), and more to 9 months (n = 60).
The mean scores according to the type of treatment (single, partial fixed denture or full prostheses) and the duration between two evaluations (less than 6 months, 6 to 9 months or more) are given in Table 3.
I also explore whether characteristics of the prizes or the papers correlate with this difference in outcomes between peer review and citation counts and find there is no easy way to reduce the difference in outcomes between these two evaluation methods.
The major differences between the two evaluation boards were the different GPU module and the different ARM processor module.
Chi-square analysis shows significant differences in the distribution of the responses between the two evaluation methods regarding reliability (p < 0.01) and relevance (p < 0.001).
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CEO of Professional Science Editing for Scientists @ prosciediting.com