Mean-Variance QTL Mapping on a Background of Variance Heterogeneity [PDF]
ABSTRACTMost QTL mapping approaches seek to identify “mean QTL”, genetic loci that influence the phenotype mean, after assuming that all individuals in the mapping population have equal residual variance. Recent work has broadened the scope of QTL mapping to identify genetic loci that influence phenotype variance, termed “variance QTL”, or some ...
Corty, Robert W., Valdar, William
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Estimated Heterogeneity of Phenotypic Variance of Test-Day Yield with a Structural Variance Model [PDF]
First-lactation test-day milk, fat, and protein yields from New York, Wisconsin, and California herds from 1990 through 2000 were adjusted additively for age and lactation stage. A random regression model with third-order Legendre polynomials for permanent environmental and genetic effects was used.
N, Gengler, G R, Wiggans, A, Gillon
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Utilizaram-se 17.767 registros de peso de 4.210 cordeiros da raça Santa Inês com o objetivo de comparar modelos de regressão aleatória com diferentes estruturas para modelar a variância residual em estudos genéticos da curva de crescimento.
José Lindenberg Rocha Sarmento +5 more
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Controlling for the effects of information in a public goods discrete choice model [PDF]
This paper develops a reduced form method of controlling for differences in information sets of subjects in public good discrete choice models, using stated preference data.
Czajkowski, Mikołaj +2 more
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The Multi-allelic Genetic Architecture of a Variance-Heterogeneity Locus for Molybdenum Concentration in Leaves Acts as a Source of Unexplained Additive Genetic Variance. [PDF]
Genome-wide association (GWA) analyses have generally been used to detect individual loci contributing to the phenotypic diversity in a population by the effects of these loci on the trait mean. More rarely, loci have also been detected based on variance
Simon K G Forsberg +5 more
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The contributions of stochastic demography and social inequality to lifespan variability [PDF]
BACKGROUND: Individual lifespans differ. Some of those differences are due to heterogeneity, some to stochasticity. Some of the heterogeneity is due to socioeconomic, physiological, or environmental differences; some to unobserved latent factors.
Hal Caswell
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Estimation of Heterogeneous Error Variances [PDF]
WE consider a set of pq observations xij in a two-way classification, which we may suppose represented by the model where αi and βj are constants and the eij are independent normal random errors with zero means and variances σj2; αi, βj and σj2 are unknown, and it is desired to ...
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Single-cell RNA-seq (scRNA-seq) data exhibits significant cell-to-cell variation due to technical factors, including the number of molecules detected in each cell, which can confound biological heterogeneity with technical effects.
Christoph Hafemeister, R. Satija
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Estimates of heterogeneity (I2) can be biased in small meta-analyses [PDF]
In meta-analysis, the fraction of variance that is due to heterogeneity is known as I2. We show that the usual estimator of I2 is biased. The bias is largest when a meta-analysis has few studies and little heterogeneity.
von Hippel, Paul T.
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Análise da curva de crescimento de machos Hereford Growth curve analysis for Hereford cattle males
Para estudar a função de melhor ajustamento ao crescimento de bovinos Hereford, foram utilizados dados de 160 machos, ajustando-se as funções de Brody, Gompertz, Logística, Richards e von Bertalanffy.
Ana Rita de Assumpção Mazzini +3 more
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