<p>Pipeline(s) with the fewest failures compared to each of the other pipelines: ** at <i>p</i><0.01; *** at <i>p</i><0.001.</p>a<p>Number of models = 87744 per pipeline. Generalized linear mixed effects models indicated that the pipelines differed with regard to the proportion of models meeting each assumption (all <i>F</i>s (3, 141) >358.50, <i>p</i>s<0.001).</p>b<p>The mCompCor and the Combined HRF + mCompCor models did not differ at p<0.05 with respect to the normality assumption. Both are indicated as representing fewer model failures than the remaining pipelines.</p>c<p>Number of models = 8448 per pipeline. The pipelines differed with regard to the proportion of models meeting each assumption (all <i>F</i>s (3, 141) >82.65, <i>p</i>s<...
<p><i>RMSE (a)</i>: root mean square error of the training set; <i>RMSE (b)</i>: root mean square er...
Generalized linear mixed models (GLMM) have become a frequently used tool for the analysis of non-Ga...
<p>Plotted are the average estimation errors as a function of the model parameter for the one-parame...
<p>(A) simulated phantom during baseline (left) and activation (right). (B) median False-Positive Fr...
Repeated measures design (or longitudinal study) are commonly seen in many research fields, especial...
<p>Results of linear mixed models analysis without adjustments for tolerance; estimated means (ng/ml...
When (meta-)analyzing single-case experimental design (SCED) studies by means of hierarchical or mul...
<p>Proportions of how often the posterior model probability is larger than .75 for the study-pairs i...
Truth + GLM is a reference pipeline where the true infection source labels are used as response vari...
<p>Same as <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004519#pcbi.1...
a(cond) and e(cond) indicate the random effects of conditions with 5-HT depletion on parameters a an...
<p>Percentage of instances where a confirmatory 1-factor model would be rejected owing to poor fit a...
Background: Longitudinal randomized controlled trials (RCTs) often aim to test and measure the effec...
<p>Percentage of instances where an exploratory 1-factor model would be rejected owing to poor fit a...
<p>Percent of variable normal σ simulations for which AIC<i>c</i> selected maximum likelihood (ML) e...
<p><i>RMSE (a)</i>: root mean square error of the training set; <i>RMSE (b)</i>: root mean square er...
Generalized linear mixed models (GLMM) have become a frequently used tool for the analysis of non-Ga...
<p>Plotted are the average estimation errors as a function of the model parameter for the one-parame...
<p>(A) simulated phantom during baseline (left) and activation (right). (B) median False-Positive Fr...
Repeated measures design (or longitudinal study) are commonly seen in many research fields, especial...
<p>Results of linear mixed models analysis without adjustments for tolerance; estimated means (ng/ml...
When (meta-)analyzing single-case experimental design (SCED) studies by means of hierarchical or mul...
<p>Proportions of how often the posterior model probability is larger than .75 for the study-pairs i...
Truth + GLM is a reference pipeline where the true infection source labels are used as response vari...
<p>Same as <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004519#pcbi.1...
a(cond) and e(cond) indicate the random effects of conditions with 5-HT depletion on parameters a an...
<p>Percentage of instances where a confirmatory 1-factor model would be rejected owing to poor fit a...
Background: Longitudinal randomized controlled trials (RCTs) often aim to test and measure the effec...
<p>Percentage of instances where an exploratory 1-factor model would be rejected owing to poor fit a...
<p>Percent of variable normal σ simulations for which AIC<i>c</i> selected maximum likelihood (ML) e...
<p><i>RMSE (a)</i>: root mean square error of the training set; <i>RMSE (b)</i>: root mean square er...
Generalized linear mixed models (GLMM) have become a frequently used tool for the analysis of non-Ga...
<p>Plotted are the average estimation errors as a function of the model parameter for the one-parame...