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Model-driven development of covariances for spatiotemporal environmental health assessment
Environmental Monitoring and Assessment, 2012Known conceptual and technical limitations of mainstream environmental health data analysis have directed research to new avenues. The goal is to deal more efficiently with the inherent uncertainty and composite space-time heterogeneity of key attributes, account for multi-sourced knowledge bases (health models, survey data, empirical relationships etc.
Alexander, Kolovos +5 more
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Cormack–Jolly–Seber model with environmental covariates: A P‐spline approach
Biometrical Journal, 2012In capture–recapture models, survival and capture probabilities can be modelled as functions of time‐varying covariates, such as temperature or rainfall. The Cormack–Jolly–Seber (CJS) model allows for flexible modelling of these covariates; however, the functional relationship may not be linear.
Stoklosa, Jakub, Huggins, Richard M.
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Distribution and variance/covariance structure of pesticide environmental fate data
Environmental Toxicology and Chemistry, 2008Abstract Hydrophobicity, persistence, and volatility data for individual pesticides are widely used in risk assessment and transport modeling, so it is important to understand their distribution, variation, and covariation. Correlations (normalized covariance) among properties across a range of multiple pesticides are also important for ...
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MAXIMUM VARIANCE LINEAR COMBINATIONS FROM PHENOTYPIC, GENETIC, AND ENVIRONMENTAL COVARIANCE MATRICES
Multivariate Behavioral Research, 1970Vectors of weights derived from principal components analysis of stan- dardized phenotypic, genetic, and environmental covariance matrices were applied to open-field behavioral scores from mice in order to obtain composite scores with maximum phenotypic (Vp), genetic (Va), and environmental (Ve)variance, respectively.
J P, Hegmann, J C, DeFries
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Candidate‐gene association studies with pedigree data: Controlling for environmental covariates
Genetic Epidemiology, 2003AbstractCase‐control studies provide an important epidemiological tool to evaluate candidate genes. There are many different study designs available. We focus on a more recently proposed design, which we call a multiplex case‐control (MCC) design. This design compares allele frequencies between related cases, each of whom are sampled from multiplex ...
S L, Slager +3 more
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Reduced Rank Covariances for the Analysis of Environmental Data
2011In this work we propose a Monte Carlo estimator for non stationary covariances of large incomplete lattice or irregularly distributed data. In particular, we propose a method called “reduced rank covariance” (RRC), based on the multiresolution approach for reducing the dimensionality of the spatial covariances.
Orietta Nicolis, Doug Nychka
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The spatial analysis of covariates in a study of environmental epidemiology
Statistics in Medicine, 1995AbstractKanawha County, West Virginia, includes a deep river valley with a large population living in close proximity to many chemical manufacturing centres. One study of this area combined an epidemiologic survey of children attending Kanawha County schools with the measurement of the concentrations of 15 volatile organic compounds at each of the 75 ...
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Selecting space-time covariance functions for modeling environmental data
2015Non-separable models are receiving a lot of attention, since they are more flexible to handle empirical covariances showed up in applications. Most of the papers which develop space-time covariance functions end with a case study which tries to prove the adequacy of the proposed class of models to a specified data set. In literature it is not customary
CAPPELLO, CLAUDIA +3 more
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Genetic and environmental sources of covariation among cognitive abilities
The influence of general cognitive ability (g) on the performance of a wide variety of cognitive abilities is well established. The primacy of genetic influences on g (genetic g) also has firm empirical standing. This thesis aimed to investigate the influence of genetic g on a range of measures that had either not been previously investigated or had ...openaire +1 more source