Showing 381 - 400 results of 59,594 for search '(( a ((((teer decrease) OR (mean decrease))) OR (linear decrease)) ) OR ( a large decrease ))', query time: 0.94s Refine Results
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    () Linear decrease in the logarithm of observed cleavage rate constants (, per minute) with increasing hydrostatic pressure by Sylvia Tobé (8024)

    Published 2011
    “…All rights reserved</p> Logarithms of the for each reaction are plotted as a function of the applied pressure. () Linear decrease in the logarithms of the theoretical equilibrium constants with increasing hydrostatic pressures. was calculated as the ratio of cleaved and uncleaved fractions at equilibrium. …”
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    List of selected metabolites that associate with diabetes at q-values <0.05 using log-scaled metabolite concentrations and assuming a linear model; %change is the increase or decrease of the mean in the diabetes group with respect to the control group; eta<sup>2</sup> is the proportion of the total variance that can be explained by the factor “diabetes” in the linear model; N is the number of valid data points that entered the analysis; the platform on which the corresponding metabolite was measured is indicated by the first letter of the provider: B = Biocrates, C = Chenomx, M = Metabolon. by Karsten Suhre (67967)

    Published 2010
    “…<p>List of selected metabolites that associate with diabetes at q-values <0.05 using log-scaled metabolite concentrations and assuming a linear model; %change is the increase or decrease of the mean in the diabetes group with respect to the control group; eta<sup>2</sup> is the proportion of the total variance that can be explained by the factor “diabetes” in the linear model; N is the number of valid data points that entered the analysis; the platform on which the corresponding metabolite was measured is indicated by the first letter of the provider: B = Biocrates, C = Chenomx, M = Metabolon.…”
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    An Explicit Mean-Covariance Parameterization for Multivariate Response Linear Regression by Aaron J. Molstad (5243561)

    Published 2022
    “…<p>We develop a new method to fit the multivariate response linear regression model that exploits a parametric link between the regression coefficient matrix and the error covariance matrix. …”
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