<p><i>A</i>: Estimated probability of a correct response on the last trial of a session (based on the parameters from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0070285#pone-0070285-g002" target="_blank">Figure 2B</a>) is converted to a -score using the normal inverse cumulative distribution. <i>B</i>: Comparison of relative item positions, based on inferred -scores. Adjacent sitmuli were estimated to be separated by an average of -scores, arrayed along a linear continuum.</p
<p>Matrix correlations between pairwise linearized <i>F</i><sub>ST</sub> values (Slatkin 1995) (y-ax...
It sometimes occurs that one or more components of the data exert a disproportionate influence on th...
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...
<p>“D1” corresponds to adjacent pairs, “D2” to pairs of items two positions apart, and so forth. <i>...
Abstract...................................................................... 33
This work has been partially supported by Grant RTI2018-099723-B-I00 (Ministry of Science and Innova...
We propose a Multivariate Logistic Distance (MLD) model for the analysis of multiple binary response...
Clustered data are often analysed under the assumption that observations from distinct clusters are ...
Session-by-session of the “distance effect on trial zero” parameter in the logistic regression analy...
Measuring and comparing student performance have been topics of much interest for educators and psyc...
International audienceLogistic regression is a statistical method used for prediction of the probabi...
The problem of sample size estimation is important in medical applications, especially in cases of e...
In this paper we show that the recent notion of regression depth can be used as a data-analytic tool...
Whiskers represent 99% credible intervals for the estimates, while shaded intervals represent 80% cr...
Under the Bayesian approach, posterior predictive model checking (PPMC) has become a popular tool fo...
<p>Matrix correlations between pairwise linearized <i>F</i><sub>ST</sub> values (Slatkin 1995) (y-ax...
It sometimes occurs that one or more components of the data exert a disproportionate influence on th...
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...
<p>“D1” corresponds to adjacent pairs, “D2” to pairs of items two positions apart, and so forth. <i>...
Abstract...................................................................... 33
This work has been partially supported by Grant RTI2018-099723-B-I00 (Ministry of Science and Innova...
We propose a Multivariate Logistic Distance (MLD) model for the analysis of multiple binary response...
Clustered data are often analysed under the assumption that observations from distinct clusters are ...
Session-by-session of the “distance effect on trial zero” parameter in the logistic regression analy...
Measuring and comparing student performance have been topics of much interest for educators and psyc...
International audienceLogistic regression is a statistical method used for prediction of the probabi...
The problem of sample size estimation is important in medical applications, especially in cases of e...
In this paper we show that the recent notion of regression depth can be used as a data-analytic tool...
Whiskers represent 99% credible intervals for the estimates, while shaded intervals represent 80% cr...
Under the Bayesian approach, posterior predictive model checking (PPMC) has become a popular tool fo...
<p>Matrix correlations between pairwise linearized <i>F</i><sub>ST</sub> values (Slatkin 1995) (y-ax...
It sometimes occurs that one or more components of the data exert a disproportionate influence on th...
Graphical representation of the effects arising from the logistic mixed-effect mode fitted consideri...