Results 221 to 230 of about 169,946 (260)

Sex steroids at birth: Genetic and environmental variation and covariation

Developmental Psychobiology, 1991
AbstractThree sex‐steroids (estradiol, progesterone, & testosterone) were assayed from the umbilical cord blood of 58 same‐sex twin pairs in an investigation of the effects of sex, as well as genetic and environmental factors, on neonatal hormone levels.
L M, Sakai, L A, Baker, C N, Jacklin, I, Shulman   +3 more
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Genetic and environmental influences on covariation in reproducible diet–metabolite associations

The American Journal of Clinical Nutrition, 2021
Early applications of metabolomics in nutrition and health research identified associations between dietary patterns and metabolomic profiles. Twin studies show that diet-related phenotypes and diet-associated metabolites are influenced by genes.
Kate M Bermingham, Lorraine Brennan, Ricardo Segurado, Rebecca E Barron, Eileen R Gibney, Miriam F Ryan, Michael J Gibney, Aifric M O’Sullivan   +7 more
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The spatial analysis of covariates in a study of environmental epidemiology

Statistics in Medicine, 1995
AbstractKanawha 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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The roles of competition and environmental heterogeneity in the maintenance of behavioral variation and covariation

Ecology, 2012
Many models of selection predict that populations will lose variation in traits that affect fitness. Nonetheless, phenotypic variation is commonly observed in natural populations. We tested the influences of competition and spatial heterogeneity on behavioral variation within and among populations of Merriam's kangaroo rats (Dipodomys merriami) and ...
Ned A, Dochtermann, Stephen H, Jenkins, Maryke J, Swartz, Allison C, Hargett   +3 more
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Analysis of Spatial Covariance Structure for Environmental Data

2005
Formulation and evaluation of environmental policy depend upon a general class of latent variable models known as multivariate receptor models. Estimation of the number of pollution sources, the source composition profiles and the source contributions are the main interests in multivariate receptor modelling.
A. Lamberti, NISSI, Eugenia
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Model-driven development of covariances for spatiotemporal environmental health assessment

Environmental Monitoring and Assessment, 2012
Known 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, José Miguel, Angulo, Konstantinos, Modis, George, Papantonopoulos, Jin-Feng, Wang, George, Christakos   +5 more
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Extending Finlay-Wilkinson regression with environmental covariates

2022
Abstract Finlay-Wilkinson regression is one of the most popular methods for analysing genotype-environment interaction in series of plant breeding and variety trials. The method involves a regression on the environmental mean, computed as the average of all genotype means.
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Reduced Rank Covariances for the Analysis of Environmental Data

2011
In 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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Product-sum covariance for space-time modeling: an environmental application

Environmetrics, 2000
In this paper a product-sum covariance for space-time modeling of nitrogen dioxide in the Milan district is introduced. Residuals have been generated for all stations after the removal of daily and seasonal trends, which are readily interpretable, in order to estimate and model the spatial-temporal variogram.
DE CESARE L., MYERS D. E., POSA, Donato
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Sources of Structure: Genetic, Environmental, and Artifactual Influences on the Covariation of Personality Traits

Journal of Personality, 2001
The phenotypic structure of personality traits has been well described, but it has not yet been explained causally. Behavior genetic covariance analyses can identify the underlying causes of phenotypic structure; previous behavior genetic research has suggested that the effects from both genetic and nonshared environmental influences mirror the ...
Jang, K. L., McCrae, R. R., Livesley, W. J., Riemann, Rainer, Angleitner, Alois   +4 more
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