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Brandstein et al. [22] practically implemented a linear regression slope forced unwrapping method which recursively adjusted the estimated wrapping frequency using lower band phase observations.
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This software http://www.gridqtl.org.uk/ implements a linear regression (LR) methodology, considering the linkage phase between markers according to pedigree information.
We address the ceiling effect by implementing a linear regression of log-transformed WOMAC function score while treating postoperative scores as left-censored at 0.9.
This analysis will be implemented using a linear regression model of the final measure on each scale including as covariates the value of the initial measure, gender, initial SF (300 599 μg/L or 600 1000 μg/L as a binary variable) and site (Melbourne or Brisbane as a two category variable).
This is an iterative method, which implemented a simple linear regression between the Cy5 and Cy3 channels on the logn scale for the hybridisation data.
Association testing was performed using a linear regression model implemented in SNPTest v2.5.
A linear regression calculation was implemented in a Microsoft Excel® spreadsheet.
If a correlation was demonstrated, a linear regression analysis was implemented.
We carried out association testing for imputed SNPs using a linear regression framework as implemented in MACH2QTL (36), SNPTEST (37) and ProbABEL (39) (Supplementary Material, Table S4).
Associations between each HPS4 SNP and individual cognitive domains were analyzed using a linear regression model that was implemented in PLINK version 1.0.7 [ 45, 46] with the covariates of age, sex, education years, and JART-based premorbid IQ because the BACS subtest performances were found to be affected by these confounding factors.
Consider a linear regression model.
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