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These tests are based on certain minimized distances between a nonparametric regression function estimator and the parametric model being fitted.
These tests are based on certain minimized L2 distances between a nonparametric regression function estimator and the parametric model being fitted.
However, in some of the previous works in this field, there exist some drawbacks of their own, which may affect the suitability of the model being fitted into the incidence pattern of the disease.
They depend highly on the model being fitted (e.g., by including interactions between the number of individuals, SNPs, and heritability).
Regression models including PCR, RR and OLSR all result in models in which the fitted outcomes can be related to the observed ones via a projection matrix or 'hat' matrix: 8In OLSR, RR and PCR, H is of the form 9The definition of G, and thus H, depends on the model being fitted.
Cordell et al. [2004] showed that the case/pseudocontrol approach can easily be extended to fit models for parent-of-origin effects, multiallelic markers, multiple linked loci in multiple unlinked regions, and gene-gene and gene-environment interactions, via an adjustment to the conditioning argument that results in differing numbers of pseudocontrols depending on the model being fitted.
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The model was fitted using ASREML vers. 2 [57].
The model was fitted using MCMC methods.
First, a configural invariance model was fitted.
The model was fitted using VCE4.0 [ 89].
Three types of regression model were fitted.
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