<p>Statistics: Repeated measures using linear mixed model.</p><p>Dependent variable: Dipole Strength Q of response (logarithmically transformed).</p>1<p>Independent variables: order, condition, hemisphere, component.</p><p>Covariance structures: heterogeneous Toeplitz.</p><p>*P<0.05,</p><p>**P<0.01,</p><p>***P<0.001.</p
<p>Correlation between the response biasing and the reverse congruency effect in the 80%-incongruent...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>All causal variants have a deleterious effect. Each box corresponds to a different proportion of ...
<p>Statistics: Repeated measures using linear mixed model.</p><p>Dependent variable: Dipole Strength...
<p>Statistics: Repeated measures using linear mixed model.</p><p>Dependent variable: Dipole Strength...
<p>PLR: positive likelihood ratio. NLR: negative likelihood ratio. DOR: diagonistics odd ratio. Esti...
Studies commonly focus on estimating a mean treatment effect in a population. However, in some appli...
<p>Experiment 1: Descriptive and comparative analysis of the causal order effect.</p
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
Interpretation in nonlinear regression models that include sets of dummy variables representing cate...
<p>Fixed effects results of the linear mixed-effects model in Experiment 1 (Dependent Variable is Re...
<p>Correlation between the response biasing and the reverse congruency effect when the preceding tri...
<div><p>Previous studies analyzed asymmetric properties of the Pearson correlation coefficient using...
<p>Fixed effects for each model are in boldface, random effects and residuals are italicized and cov...
<p>First-order effects describe all datasets, while second-order effects may provide scale-dependent...
<p>Correlation between the response biasing and the reverse congruency effect in the 80%-incongruent...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>All causal variants have a deleterious effect. Each box corresponds to a different proportion of ...
<p>Statistics: Repeated measures using linear mixed model.</p><p>Dependent variable: Dipole Strength...
<p>Statistics: Repeated measures using linear mixed model.</p><p>Dependent variable: Dipole Strength...
<p>PLR: positive likelihood ratio. NLR: negative likelihood ratio. DOR: diagonistics odd ratio. Esti...
Studies commonly focus on estimating a mean treatment effect in a population. However, in some appli...
<p>Experiment 1: Descriptive and comparative analysis of the causal order effect.</p
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
Interpretation in nonlinear regression models that include sets of dummy variables representing cate...
<p>Fixed effects results of the linear mixed-effects model in Experiment 1 (Dependent Variable is Re...
<p>Correlation between the response biasing and the reverse congruency effect when the preceding tri...
<div><p>Previous studies analyzed asymmetric properties of the Pearson correlation coefficient using...
<p>Fixed effects for each model are in boldface, random effects and residuals are italicized and cov...
<p>First-order effects describe all datasets, while second-order effects may provide scale-dependent...
<p>Correlation between the response biasing and the reverse congruency effect in the 80%-incongruent...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>All causal variants have a deleterious effect. Each box corresponds to a different proportion of ...