We develop a model to relate a multivariate compositional response to a number of covariates. We propose a new graphical model, called the Random Effects Discrete Regression (REDR) model, which allows for examination of the complex conditional relationships between a set of covariates and multiple discrete response variables. Our approach offers a number of advantages over previous approaches a...

BACKGROUND The clinical utility of opioids is limited by adverse drug effects including respiratory depression, sedation, nausea, and pruritus. In addition, abuse of prescription opioids is problematic. Gaining a better understanding of the genetic and environmental mechanisms contributing to an individual's susceptibility to adverse opioid effects is essential to identify patients at risk. M...

An on-going challenge for decision makers is the interpretation of temporal trends from monitoring data given that environmental processes often generate complex data that are multivariate and potentially nonlinear. Generalized additive models (GAMs) is a wellsuited modelling framework for uncovering such trends and unifying datasets. This approach allows flexible specification of regression sp...

Troglobites, or species restricted to caves, commonly have small ranges and high levels of endemism, making them extremely sensitive to relatively small-scale habitat alteration that results from urbanization. Protection of federally listed endangered troglobites in central Texas focuses on caves that are occupied by the species. The determination of occupancy is based on presence/absence surve...

1) Species distribution models (SDMs) are currently the main tools to derive species niche estimates and spatially explicit predictions for geographical distribution. However, unobserved environmental conditions ecological processes may confound model if they have direct impact on and, at same time, correlated with observed covariates. This, so-called spatial confounding, is a general property ...

With environmental conditions changing rapidly, there is a need to move beyond single-species models and consider how communities respond to environmental drivers. We present a modeling approach that allows estimation of multispecies synchrony in productivity, or its components, and the contribution of environmental covariates as synchronizing and desynchronizing agents. We apply the model to l...

Janne Hämäläinen, M.Sc. (Eng.) Product Manager Surface Weather Division Vaisala Helsinki Finland he MILOS 520 Data Collection and Processing System is designed to satisfy the current and future requirements for Automatic Weather Stations that are accurate, reliable and economical in terms of overall costs through the entire life cycle of a system. The MILOS 520 system’s flexible set-up in a Win...