<p>Random effects models with interactions: Stimulus type x Dominance measure, Stimulus type x Stimulus size, Stimulus type x STAI-T, Stimulus type x Design, Stimulus type x Trial length, Dominance measure x Design.</p
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
<p>Effect sizes (coefficients) with Bayesian 95% credibility intervals (HPD<sub>lower</sub>, HPD<sub...
<p>Random effects models with interactions: Dominance measure x Stimulus size, Design x Stimulus siz...
<p>Random effects models with Stimulus type, Design, Trial length, Dominance measure, Stimulus size ...
<p>Random effects models with interactions: Stimulus type x SOA, Stimulus type x Probe response, Sti...
<p>Random effects models with interactions: Probe response x Stimulus size, HPWR x Stimulus size, ST...
The principle focus of this paper is on interpretation of interactions that are obtained when respon...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
Statistical analyses of randomized controlled trials (RCTs) yield a causally valid estimate of the o...
Multiplicative interaction models, such as CitationGoodman's (1981) RC(M) association models, can be...
<p>Effect sizes of the association between the characteristics and treatment outcomes as described i...
An interaction effect exists when the influence of an independent variable X on an outcome variable ...
This research presents a new probabilistic approach for the analysis of preference data when dealin...
<p>Interaction effect in fitted data, demonstrating that the best-fit model accounts for the interac...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
<p>Effect sizes (coefficients) with Bayesian 95% credibility intervals (HPD<sub>lower</sub>, HPD<sub...
<p>Random effects models with interactions: Dominance measure x Stimulus size, Design x Stimulus siz...
<p>Random effects models with Stimulus type, Design, Trial length, Dominance measure, Stimulus size ...
<p>Random effects models with interactions: Stimulus type x SOA, Stimulus type x Probe response, Sti...
<p>Random effects models with interactions: Probe response x Stimulus size, HPWR x Stimulus size, ST...
The principle focus of this paper is on interpretation of interactions that are obtained when respon...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
Statistical analyses of randomized controlled trials (RCTs) yield a causally valid estimate of the o...
Multiplicative interaction models, such as CitationGoodman's (1981) RC(M) association models, can be...
<p>Effect sizes of the association between the characteristics and treatment outcomes as described i...
An interaction effect exists when the influence of an independent variable X on an outcome variable ...
This research presents a new probabilistic approach for the analysis of preference data when dealin...
<p>Interaction effect in fitted data, demonstrating that the best-fit model accounts for the interac...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
<p>Stimulation has two levels (cathodal and sham), Condition has two levels (C and I), and Experimen...
<p>Effect sizes (coefficients) with Bayesian 95% credibility intervals (HPD<sub>lower</sub>, HPD<sub...
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