Learn More
BACKGROUND Studies estimating health effects of long-term air pollution exposure often use a two-stage approach: building exposure models to assign individual-level exposures, which are then used in regression analyses. This requires accurate exposure modeling and careful treatment of exposure measurement error. OBJECTIVE To illustrate the importance of(More)
Quantitative or numerical metrics of protein function specificity made possible by the Gene Ontology are useful in that they enable development of distance or similarity measures between protein functions. Here we describe how to calculate four measures of function specificity for GO terms: 1) number of ancestor terms; 2) number of offspring terms; 3)(More)
BACKGROUND Exposure to air pollution has been consistently associated with cardiovascular morbidity and mortality, but mechanisms remain uncertain. Associations with blood pressure (BP) may help to explain the cardiovascular effects of air pollution. OBJECTIVE We examined the cross-sectional relationship between long-term (annual average) residential air(More)
Air pollution epidemiology studies often implement a two-stage approach. Exposure models are built using observed monitoring data to predict exposure at participant locations where the true exposure is unobserved, and the predictions used to estimate the health effect. This induces measurement error which may bias the estimated health effect and affect its(More)
Modelling of Gaussian spatio-temporal processes provide ample opportunity for different model formulations, however two principal directions have emerged. The data can be modelled either as a set of spatially varying temporal basis functions or as spatial fields evolving in time. This package provides maximum-likelihood estimation and cross-validation tools(More)
  • 1