6 runs of data was simulated with ISI drawn from U(0, 4), and noise std. = 0.8. Single trial estimates were performed with LS-S procedure. Top panels plot the estimated activity levels of each trial for each run. Two trial types are color-coded and their respective run-level means are also shown in color-coded bars to show spurious mean shifts. The horizontal dotted line marks the experiment-wise mean across runs. The bottom panels plot the same data but with run-level mean centering, which essentially subtracts the mean of all trial estimates in a run (shown in black bar) from all the trial estimates within the said run.</p
<p>Data are plotted separately for real data (circular symbols, solid lines), SpAM simulations (squa...
Each plot shows data for one participant and the data are the mean SD of the step frequency (SF) cha...
Kelley et al. argue that group-mean-centering covariates in multilevel models is dangerous, since—th...
Above shows histograms of estimated activity levels collapsed across 20,000 runs of simulated data u...
Top panel shows the CV accuracy between two runs that have different global activity levels with and...
When analyzing data from a randomized experiment that is replicated across multiple sites and includ...
Percent increase in balanced CV prediction accuracies with mean centering. Each cell shows the CV ac...
<p>Mean (central line) and SD (shadow area, mean ± SD) on each side of the central line of autocorre...
Mean centering is an additive transformation of a continuous variable. It is often used in moderated...
<p>(A) Electrode Montage. To report PLS results, Electrode locations were classified into 11 sagitta...
Correlation between the estimated activation levels of the two trial types across 2,000 simulated ru...
<p>A) Average biases across subjects. B) The distribution of subjects’ individual biases (based on e...
In the presence of outlying observations in panel data set, the traditional ordinary least square es...
Histogram of scanner run- level correlation between the mean estimated activation levels of two tria...
<p>Mean-centered sample time series (60s) for joint angles (A), task-equvialent fluctuations w.r.t. ...
<p>Data are plotted separately for real data (circular symbols, solid lines), SpAM simulations (squa...
Each plot shows data for one participant and the data are the mean SD of the step frequency (SF) cha...
Kelley et al. argue that group-mean-centering covariates in multilevel models is dangerous, since—th...
Above shows histograms of estimated activity levels collapsed across 20,000 runs of simulated data u...
Top panel shows the CV accuracy between two runs that have different global activity levels with and...
When analyzing data from a randomized experiment that is replicated across multiple sites and includ...
Percent increase in balanced CV prediction accuracies with mean centering. Each cell shows the CV ac...
<p>Mean (central line) and SD (shadow area, mean ± SD) on each side of the central line of autocorre...
Mean centering is an additive transformation of a continuous variable. It is often used in moderated...
<p>(A) Electrode Montage. To report PLS results, Electrode locations were classified into 11 sagitta...
Correlation between the estimated activation levels of the two trial types across 2,000 simulated ru...
<p>A) Average biases across subjects. B) The distribution of subjects’ individual biases (based on e...
In the presence of outlying observations in panel data set, the traditional ordinary least square es...
Histogram of scanner run- level correlation between the mean estimated activation levels of two tria...
<p>Mean-centered sample time series (60s) for joint angles (A), task-equvialent fluctuations w.r.t. ...
<p>Data are plotted separately for real data (circular symbols, solid lines), SpAM simulations (squa...
Each plot shows data for one participant and the data are the mean SD of the step frequency (SF) cha...
Kelley et al. argue that group-mean-centering covariates in multilevel models is dangerous, since—th...