background and aims: the aim of this study was the modeling of the incidence rates of colorectal, breast and prostate cancers using a shared component model in order to explore the spatial pattern of their shared risk factors (i.e., obesity and low physical activity) affecting on cancer incidence, and also to estimate the relative weight of these shared components. methods: in this study, the ...

presence of joints and fractures in rocks strongly influences the behavior of the rock mass by dividing the media into smaller units. these structures intensify the potential instability besides the development of sliding and rotational movements. the assumption of discontinuum media changes the whole analysis conditions in relation to the continuum analysis. acquisition of geometrical and stru...

This article discusses and extends statistical models to jointly analyse the spatial variation of rates of several diseases with common risk factors. We start with a review of methods for separate analyses of diseases, then move to ecological regression approaches, where the rates from one of the diseases enter as surrogate covariates for exposure. Finally, we propose a general framework for jo...

Joint mapping for multiple quantitative traits has shed new light on genetic mapping by pinpointing pleiotropic effects and close linkage. Joint mapping also can improve statistical power of QTL detection. However, such a joint mapping procedure has not been available for discrete traits. Most disease resistance traits are measured as one or more discrete characters. These discrete characters a...

In this talk we will discuss reliable and high precision pedestrian positioning in GNSS denied environments. We will begin with a brief introduction into non-linear sequential Bayesian estimation principles and their application to sensor fusion. We shall present the p9roperties of pedestrian odometry (step measurement) based on foot mounted IMUs (Inertial Measurement Units) with zero velocity ...

For samples of admixed individuals, it is possible to test for both ancestry effects via admixture mapping and genotype effects via association mapping. Here, we describe a joint test called BMIX that combines admixture and association statistics at single markers. We first perform high-density admixture mapping using local ancestry. We then perform association mapping using stratified regressi...

Quantitative trait locus (QTL) mapping is usually performed using markers that follow a Mendelian segregation ratio. We developed a new method of QTL mapping that can use markers with segregation distortion (non-Mendelian markers). An EM (expectation-maximization) algorithm is used to estimate QTL and SDL (segregation distortion loci) parameters. The joint analysis of QTL and SDL is particularl...

Multivariate disease mapping refers to the joint mapping of multiple diseases from regionally aggregated data and continues to be the subject of considerable attention for biostatisticians and spatial epidemiologists. The key issue is to map multiple diseases accounting for any correlations among themselves. Recently, Martinez-Beneito (2013) provided a unifying framework for multivariate diseas...