Feb 15, 2017 · Here we seek to explicate and adopt a parametric approach through linear mixed-effects (LME) modeling for studying the ISC values.
Oct 15, 2016 · Here we seek to explicate and adopt a parametric approach through linear mixed-effects (LME) modeling for studying the ISC values, building on the previous ...
Group Analysis. Article. Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modeling.
Aug 1, 2020 · Linear mixed-effects (LME) modeling offers a suitable framework in partitioning effects of inter-subject correlation (ISC) data. •. Massively ...
Untangling the relatedness among correlations, part II: inter-subject correlation group analysis through linear mixed-effects modeling. Neuroimage. 2016b ...
Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modeling. Article. Oct 2016 ...
62 References · Untangling the relatedness among correlations, Part II: Inter-subject correlation group analysis through linear mixed-effects modeling.
R.W.. (. 2017b. ). Untangling the relatedness among correlations, part II: inter-subject correlation group analysis through linear mixed-effects modeling.
May 30, 2019 · Here we propose a Bayesian multilevel (BML) framework for ISC data analysis that integrates all the spatial elements (i.e., regions of interest) ...
The synchronization or response similarities among subjects are typically measured through inter-subject correlation (ISC) between any pair of subjects. At the ...