Percent increase in balanced CV prediction accuracies with mean centering. Each cell shows the CV accuracy with mean-centered LS-S coefficients minus the CV accuracy with non-mean-centered LS-S coefficients. Standard errors were below 0.1% for all cells.</p
<p>The columns represent different cut-plane orientations and the rows correspond to the different c...
<p>The y-axis represents the difference between the readout performance of a balanced data set (same...
Whether level 1 predictors should be centered per cluster has received considerable attention in the...
Top panel shows the CV accuracy between two runs that have different global activity levels with and...
Mean centering is an additive transformation of a continuous variable. It is often used in moderated...
6 runs of data was simulated with ISI drawn from U(0, 4), and noise std. = 0.8. Single trial estimat...
The cross-product term in moderated regression may be collinear with its constituent parts, making i...
In the presence of outlying observations in panel data set, the traditional ordinary least square es...
<p>The range of the cv-SMSE is shown on the horizontal axis, while the density is shown on the verti...
Copyright © 2013 Richard B. Francoeur. This is an open access article distributed under the Creative...
<p>Rows where geometric mean peak area >1% are highlighted in bold. CV = Coefficient of variation, c...
In recent years, robust estimators for fixed effect panel data model have been developed to provide ...
Background In applications of supervised statistical learning in the biomedical field it is necessa...
Kelley et al. argue that group-mean-centering covariates in multilevel models is dangerous, since—th...
(a) Clusters generated with a cv-score of 0.97. (b) Graph illustrating out-of-sample error for each ...
<p>The columns represent different cut-plane orientations and the rows correspond to the different c...
<p>The y-axis represents the difference between the readout performance of a balanced data set (same...
Whether level 1 predictors should be centered per cluster has received considerable attention in the...
Top panel shows the CV accuracy between two runs that have different global activity levels with and...
Mean centering is an additive transformation of a continuous variable. It is often used in moderated...
6 runs of data was simulated with ISI drawn from U(0, 4), and noise std. = 0.8. Single trial estimat...
The cross-product term in moderated regression may be collinear with its constituent parts, making i...
In the presence of outlying observations in panel data set, the traditional ordinary least square es...
<p>The range of the cv-SMSE is shown on the horizontal axis, while the density is shown on the verti...
Copyright © 2013 Richard B. Francoeur. This is an open access article distributed under the Creative...
<p>Rows where geometric mean peak area >1% are highlighted in bold. CV = Coefficient of variation, c...
In recent years, robust estimators for fixed effect panel data model have been developed to provide ...
Background In applications of supervised statistical learning in the biomedical field it is necessa...
Kelley et al. argue that group-mean-centering covariates in multilevel models is dangerous, since—th...
(a) Clusters generated with a cv-score of 0.97. (b) Graph illustrating out-of-sample error for each ...
<p>The columns represent different cut-plane orientations and the rows correspond to the different c...
<p>The y-axis represents the difference between the readout performance of a balanced data set (same...
Whether level 1 predictors should be centered per cluster has received considerable attention in the...
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