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For single tSNP analyses, we tested for association under additive, dominant and recessive models and corrected for multiple testing using permutation methods.
We removed > 300 unsupported gene models, and corrected approximately 900.
The final multivariate models with only statistically significant variables were obtained by stepwise exclusion of the least significant variable from the models and corrected for age and sex.
Since some genetic variants may exert dominant or recessive effects we also performed logistic regression using these models and corrected for sex, age at diagnosis/entry, and APOE ε4+/− as covariates (Online Resource 4).
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The results show that the joint FWI approach can integrate the common structure of models and correct the model structures that are inaccurately reconstructed in the individual FWI methods, providing a comprehensive structural interpretation of the study areas.
The paper proposes a method for locating design errors at the source-level of Register-Transfer Level (RTL) hardware description language code using the design representation of High-Level Decision Diagram (HLDD) models and correcting them by applying mutation operators.
The sheet resistance of patterned electrodes was modeled and corrected using a finite volume technique.
The validated electromagnetic force model and corrected material properties are then used in a three-dimensional, fluid structural finite element model to simulate membrane dynamics.
As described in Introduction, the hydrological gravity changes should be modeled and corrected independently of the observed gravity data, since the empirical models mostly tend to even subtract the solid-earth gravity signal from the observed gravity.
This observation is particularly important because misclassification could lead to undertreatment if this error is not modeled and corrected.
In the second model (model 2), the three psychological variables were combined in one model and corrected for the confounders age and gender.
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