Index of papers in March 2015 that mention
  • logistic regression
Dimitri Yatsenko, Krešimir Josić, Alexander S. Ecker, Emmanouil Froudarakis, R. James Cotton, Andreas S. Tolias
Relationship of Csparse+latent to orientation tuning and physical distances
Positive connectivity decreased with Aori (p < 0.005 in each of the five sites, t-test on the logistic regression coefficient) whereas negative connectivity did not decrease (Fig.
Relationship of Csparse+latent to orientation tuning and physical distances
7 G): The slope in the logistic model of connectivity with respect to Aori was significantly higher for positive than for negative interactions (p < 0.04 in each of the five sites, two-sample t-test of the difference of the logistic regression coefficient).
Relationship of Csparse+latent to orientation tuning and physical distances
Positive connectivity decayed with distance (p < 10—6 in each of the five sites for positive interactions, t-test on the logistic regression coefficient in normalized data) (Fig.
logistic regression is mentioned in 5 sentences in this paper.
Miriam C. Klein-Flügge, Steven W. Kennerley, Ana C. Saraiva, Will D. Penny, Sven Bestmann
Exclusion of participants
Our main analyses regarded participant’s choice behavior, but a detailed analysis of response times and a logistic regression of choices were also performed (see 81 Text; 81 Fig).
Experiment 1: Dissociating effort and delay discounting
A logistic regression of participant’s choices furthermore showed that costs and magnitudes both influenced choices (81B Fig.
Supporting Information
B, Mean (i SEM) parameter estimates from a logistic regression analysis of each participant’s choice pattern.
Supporting Information
B, To illustrate that the percentage of choices explained by a model depends on the offered choice stimuli (see Results), we repeated the model fitting and logistic regression analysis on the highlighted subset of trials which was defined as choices in which (a) both options were in the lower cost range, with at least one option with cost <02, and the difference to the second option not higher than 0.3, or (b) both options were in the higher range of cost levels (both costs>0.4).
logistic regression is mentioned in 4 sentences in this paper.
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