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Table 1 Generalized Linear Mix Model Values for Treatment Conditions

From: Additional evidence that contour attributes are not essential cues for object recognition

  Contiguous Subsets Random Subsets
T3 (ms) Mean SEM Backtransformed Mean SEM Backtransformed
1 1.056 0.369 0.742 1.435 0.382 0.808
3 0.879 0.363 0.707 0.537 0.359 0.631
9 0.213 0.354 0.553 0.284 0.354 0.570
27 -0.442 0.358 0.391 -1.425 0.386 0.194
  1. The Generalized Linear Mixed Model transforms the percent recognition of shapes into logit values, i.e., loge (proportion/1-proportion). The mean logit values and the standard errors of these means are given for each T3 interval for the contiguous and random subset data. The logit values have also been backtransformed into model predictions of recognition rate.