Mixed models have become the tool of choice for genetic association studies; however, standard mixed model methods may be poorly calibrated or underpowered under family sampling bias and/or case-control ascertainment. Previously, we introduced a liability threshold-based mixed model association statistic (LTMLM) to address case-control ascertainment in unrelated samples. Here, we consider famil...

Forest height is an essential parameter used to derive important information about forest ecosystems, such as above-ground biomass. In this article, a estimation approach combining P-band and X-band interferometric synthetic aperture radar (InSAR) was introduced. The estimated using the difference in penetration of long- short-wavelength radars forest. That is, InSAR data were extract digital t...

Radiative multipole moments of scalar, electromagnetic, and linearized gravitational fields in Schwarzschild spacetime are computed to third order in v in a weak-field, slow-motion approximation, where v is a characteristic velocity associated with the motion of the source. These moments are defined for all three types of radiation by relations of the form Ψ(t, ~ x) = r ∑ lm Mlm(u)Ylm(θ, φ), wh...

Abstract The adoption of genomics by healthcare systems is crucial to fulfill the potential Personalised Medicine for patients and citizens. This a challenging undertaking, requires from extensive adjustments in key issues, such as technical infrastructure, health professional competences or ethical legal frameworks. starting point an effective identification specific challenges barriers develo...

The first part of this paper gives an overview of a simplified approach to the statistical analysis of PET and fMRI data, including new developments and future directions. The second part outlines a new method, based on multivariate linear models (MLM), for characterising the response in PET and fMRI data, which overcomes some of the drawbacks of current methods such as SSM, SVD, PLS and CVA.