Results 11 to 20 of about 550,309 (325)
Improving Accuracy of Brainstem MRI Volumetry: Effects of Age and Sex, and Normalization Strategies
Frontiers in Neuroscience, 2020 Background: Brainstem-mediated functions are impaired in neurodegenerative diseases and aging. Atrophy can be visualized by MRI. This study investigates extrinsic sources of brainstem volume variability, intrinsic sources of anatomical variability, and ...
Laura Sander +22 more
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Canadian Journal of Mathematics, 2014 AbstractLet F denote a binary form of order d over the complex numbers. If r is a divisor of d, then the Hilbert covariant Hr,d(F) vanishes exactly when F is the perfect power of an order r form. In geometric terms, the coefficients of H give defining equations for the image variety X of an embedding Pr ↪ Pd.
Abdelmalek Abdesselam +1 more
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Soil and Water Research, 2017 The study presents all approaches of rainfall erosivity factor (R) computation and estimation used in the Czech Republic (CR). A lot of distortions stem from the difference in erosive rainfall criteria, time period, tipping rain gauges errors, low ...
Jiří BRYCHTA, Miloslav JANEČEK
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Control of spatial effects due to neighboring palms in coconut (Cocos nucifera) experiments
CORD, 2007 The RCBD is the most robust design for field experimentations in coconut. In this study the effect of neighboring palms to control local variation in field experiments of coconut was evaluated using two long-term coconut trials.
T. S. G. Peiris
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Sichuan jingshen weisheng, 2021 The purpose of the paper was to introduce the three special tests of the survival data and the SAS implementation. Specifically， it was the multiple comparisons， the trend test and the covariate test of the survival data.
Hu Chunyan, Hu Liangping
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PLoS Genetics, 2012 An important step in analyzing genetic association study data is deciding whether to adjust for covariates—those variables ancillary to the variants of interest. In particular, when testing for novel associations, should the statistical model also include known genetic or nongenetic covariates that are predictors of the trait (e.g., body mass index ...
John S. Witte, Joel Mefford
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Physical Review D, 2009 10 pages, no figure, RevTeX4 format; v2 adds footnote 1, Ref. [12], reformats the link in Ref.
Deffayet, C. +2 more
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Covariate-assisted spectral clustering [PDF]
, 2016 Biological and social systems consist of myriad interacting units. The interactions can be represented in the form of a graph or network. Measurements of these graphs can reveal the underlying structure of these interactions, which provides insight into ...
Binkiewicz, Norbert +2 more
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An introduction to the full random effects model
CPT: Pharmacometrics & Systems Pharmacology, 2022 The full random‐effects model (FREM) is a method for determining covariate effects in mixed‐effects models. Covariates are modeled as random variables, described by mean and variance.
Gunnar Yngman +4 more
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Determination of environmental factors affecting the distribution of plant species in northern Zagros forests (Case study: Armardeh Forest, Baneh) [PDF]
مجله جنگل ایران, 2015 Northern Zagros forests are one of the most important ecosystems in Iran from ecological and socio-economic points of view. This study was done to determine the most important gradients affecting on plant species distribution by using ordination methods.
Somayeh Gaderzadeh +3 more
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