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These phenomena allowed for joint analyses of neutral atmosphere and ionosphere parameters.
Our example shows that the likelihood we construct for joint analyses of correlated data sets can be widely applied to many astrophysical systems.
The development of a small, dedicated near-infrared (NIR) spectrometer has promising potential applications, such as for joint analyses of total cholesterol (TC) and triglyceride (TG) in human serum for preventing and treating hyperlipidemia of a large population.
Various statistical methods have been developed for joint analyses of SNPs in a gene or region to identify causal variants.
Although the fixed-effect models were developed for analysis of multiple partitions of sites within a single gene, they are also appropriate for joint analyses of multi-gene datasets [ 4, 8].
The AFRAN General Meeting in March 2015 decided that an African Renal Registry should be developed that allows national societies to maintain control over their own data and the freedom to report their own findings but also allows the aggregation of all data for joint analyses and comparisons.
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Accuracies of predictions of genotypic values based on SNP WUR10000125 were very similar for the full and reduced training data but varied between validation trials from 0.08 to 0.51 for VL, with an accuracy of 0.48 and 0.54 when all trials were analyzed jointly, using the full and reduced training data, respectively, and from 0.06 to 0.75 for WG, with an accuracy of ~0.34 for the joint analyses.
In additional analyses, we dichotomized fitness level as either fit (the most fit 80%) or unfit (the least fit 20%) for the joint analyses of fitness and obesity on IFG and type 2 diabetes.
We construct a "hyperparameter matrix" statistical method for performing the joint analyses of multiple correlated astronomical data sets, in which the weights of data sets are determined by their own statistical properties.
The positive associations of BPA and phthalates with T2D were significant only after adjusting for BMI, although in joint analyses without further adjustment for BMI, BPA and butyl phthalates were positively associated with T2D risk among participants across BMI categories, suggesting that the positive associations may not be due entirely to the confounding by BMI.
This has been demonstrated already by Skol et al. in the setting of comparing two-stage versus joint analyses for genome-wide data for the typical fractions of SNPs being tested in the second stage [26].
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