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Multivariate Longitudinal Analysis with Bivariate Correlation Test. [PDF]
In the context of multivariate multilevel data analysis, this paper focuses on the multivariate linear mixed-effects model, including all the correlations between the random effects when the dimensional residual terms are assumed uncorrelated.
Eric Houngla Adjakossa +3 more
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Bivariate association analysis of longitudinal phenotypes in families [PDF]
Statistical genetic methods incorporating temporal variation allow for greater understanding of genetic architecture and consistency of biological variation influencing development of complex diseases. This study proposes a bivariate association method jointly testing association of two quantitative phenotypic measures from different time points ...
Phillip E. Melton, Laura Almasy
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Bivariate Analysis with Synthetic Hydrograph Shapes for Hydrological Dam Safety Assessment
Hydrological dam safety analyses should assess the frequency curve of maximum reservoir water levels in flood events by routing a large set of inflow hydrographs. Therefore, stochastic bivariate analyses are used.
Daniel Carril-Rojas, Luis Mediero
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Bayesian threshold analysis of litter size in sheep
Background: Litter size at birth (LSB) is one of the most important economic traits in sheep and could be used in genetic improvement schemes for meat production.
Amin Mortazavi +5 more
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Bivariate sea-ice assimilation for global-ocean analysis–reanalysis [PDF]
In the last decade, various satellite missions have been monitoring the status of the cryosphere and its evolution. Besides sea-ice concentration data, available since the 1980s, sea-ice thickness retrievals are now ready to be used in global operational
A. Cipollone +6 more
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Seroprevalence and risk factors of brucellosis in livestock in the wildlife and livestock interface area of Similipal Biosphere Reserve, India [PDF]
Background and Aim: Brucellosis is an important zoonotic disease that affects fertility in farm animals. The risk factors of brucellosis have not been well studied.
Sujit Kumar Behera +6 more
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Analysis of bivariate flow karyotypes [PDF]
AbstractBivariate flow karyotype analysis is performed using data from chromosomes stained with two fluorescent dyes, typically chromomycin A3 and Hoechst‐33258, and measured in a flow cytometer or cell sorter (Carrano et al.: Proceedings of the National Academy of Sciences of the United States of America 76:1382–1384, 1979; Gray et al.: Proceedings of
P. N. Dean, S. Kolla, M. A. Van Dilla
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The performance of a suspension system is affected by the behavior and posture of its components. However, published studies usually conduct this research using the based-equivalent model without considering the characteristic curves or postures. In this
Keren Chen +4 more
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Although exercise-induced fatigue has been mostly studied from a reductionist and component-dominant approach, some authors have started to test the general predictions of theories of self-organized change during exercises performed until exhaustion ...
Pablo Vázquez +3 more
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Bivariate Flood Frequency Analysis Using Copulas
Flood frequency estimation for the design of hydraulic structures is usually performed as a univariate analysis of flood event magnitudes. However, recent studies show that for accurate return period estimation of the flood events, the dependence and the
Nikoletta Stamatatou +2 more
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