Most human diseases and agriculturally important traits are complex. Dissecting their genetic architecture requires continued development of innovative and powerful statistical methods. Corresponding advances in computing tools are critical to efficiently use these statistical innovations and to enhance and accelerate biomedical and agricultural research and applications. The genome association...

OBJECTIVE To explore the bivariate and multivariate relations between fatty degeneration of the lumbar multifidus muscle (LMM) and LMM function among patients with low back pain (LBP). DESIGN Cross-sectional clinical study. SETTING Hospital. PARTICIPANTS Patients with LBP (N=70) referred for lumbar spine magnetic resonance imaging. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES L...

Estimating stream temperatures across broad spatial extents is important for regional conservation of running waters. Although statistical models can be useful in this endeavor, little information exists to aid in the selection of a particular statistical approach. Our objective was to compare the accuracy of ordinary least-squares multiple linear regression, generalized additive modeling, ordi...

We report on an experimental study of the processing of noun-noun compounds by native and non-native speakers of English, based on Event-Related Potentials recorded during a maskprimed lexical decision task. Analysis was by generalised linear mixed-effect modelling and generalised additive mixed modelling. Non-native processing is found to display headedness effects induced by the mothertongue....

The standard software for non-linear mixed-effect analysis of pharmacokinetic/pharmacodynamic (PK/PD) data is NONMEM while the non-linear mixed-effects package NLME is an alternative as long as the models are fairly simple. We present the nlmeODE package which combines the ordinary differential equation (ODE) solver package odesolve and the non-linear mixed effects package NLME thereby enabling...

Biodiversity provides humans with abundant natural resources, but due to human activities, land use has become one of the main factors determining loss biodiversity. Previous research shown that different effects on species. To illustrate this phenomenon, study used a wide range sets data determine how affects species diversity worldwide, and whether effect depends continent. This mainly uses l...

We examine improvements to the linear mixed model (LMM) that better correct for population structure and family relatedness in genome-wide association studies (GWAS). LMMs rely on the estimation of a genetic similarity matrix (GSM), which encodes the pairwise similarity between every two individuals in a cohort. These similarities are estimated from single nucleotide polymorphisms (SNPs) or oth...

We investigated the influence of prosodic structure and information density on vowel space size. Vowels were measured in five languages from the BonnTempo corpus, French, German, Finnish, Czech, and Polish, each with three female and three male speakers. Speakers read the text at normal, slow, and fast speech rate. The Euclidean distance between vowel space midpoint and formant values for each ...

Binomial data are often generated in split-plot experimental designs in agricultural, biological, and environmental research. Modeling non-normality and random effects are the two major challenges in analyzing binomial data in split-plot designs. In this study, seven statistical methods for testing whole-plot and subplot treatment effects using mixed, generalized linear, or generalized linear m...