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The estimated parabolic slope for the study population correction method (QTcN) was 0.294, and thus slightly lower than the slope used with the Fridericia method (0.333).
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Comparison of different population structure correction methods indicated that the use of the kinship matrix (K) was the most informative option for this dataset.
The average sum of squared individual QTc-RR slopes was lowest on placebo with the two population derived correction methods (QTcP and QTcPL, Table 1); QTcP was chosen as the QTc parameter in the primary analysis, as it resulted in a similar slope of the QTc and RR relationship for both placebo and exenatide, thus demonstrating a lack of an effect on the QT/RR relationship.
In addition, two study population QT correction methods were applied: where α and β are the population correction factors (estimated slopes) from log-linear and linear regression models fitted to all pre-therapy QT and RR measurements for all subjects, respectively.
About: The EIGENSOFT package combines functionality from population genetics methods (Patterson et al. 2006) and EIGENSTRAT stratification correction method (Price et al. 2006).
Therefore, clinically, when a population derived correction factor may not be available, the optimum correction method for children would be the Fridercia method [ 17].
These findings demonstrate that design-based stereology provides a practical alternative to other counting methods such as the Abercrombie correction method, which has been shown to notably underestimate cell populations, and labor-intensive protocols that account for every cell individually.
The fixed point bias correction method uses the fixed point sample eigenvalue density estimator, which shows that population eigenvalue to sample eigenvalue estimators do have their application.
Either correction method requires genome wide information for the quantification or detection, respectively, of population substructure.
This correction method addresses the potential problem of non-random selection into the sample for the enrolled population.
However, the correction method makes an important assumption that the relative mortality for non-compliers compared with a population not invited for screening is the same in the programme in question as in the randomised trials.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com