Computational Intelligence and Neuroscience / 2011 / Article / Tab 1

Research Article

LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data

Table 1

Summary of statistical tests available in LIMO EEG via the GUI with the bootstrap procedures used at the univariate (one time frame on one electrode) and cluster levels.

Statistical tests available via the general user interfaceHypothesis tested at the univariate level using bootstrap (non corrected 𝑃 values/significance testing)Multiple comparisons correction
(accounts for doing many tests) using cluster statistics

One sample 𝑑 -test
(Student 𝑇 test)
H1 (resample subjects and use bootstrapped 𝑇 values)H0 (center data then resample subjects and use bootstrapped 𝑇 values)
Paired 𝑑 -test
(Student 𝑇 test)
H1 (resample subjects paired observations and use bootstrapped 𝑇 values)H0 (center data per condition then resample subjects and use bootstrapped 𝑇 values)
Two samples 𝑑 -test
(Student 𝑇 test)
H1 (resample subjects in each group and use bootstrapped mean differences between groups)H0 (center data per group then resample subjects and use bootstrapped 𝑇 values)
Regressions
(Fisher 𝐹 test)
H1 (resample subjects and use regression coefficients)H0 (resample subjects and fit to the original design matrix and use bootstrapped 𝐹 values)
One way ANOVA
(Fisher 𝐹 test)
H0 (center data per group then resample subjects and use bootstrapped 𝐹 values)H0 (center data per group then resample subjects and use bootstrapped 𝐹 values)
One way ANCOVA
(Fisher 𝐹 test)
H0 (resample subjects and fit to the original design matrix and use bootstrapped 𝐹 values)H0 (resample subjects and fit to the original design matrix and use bootstrapped 𝐹 values)
Repeated measures ANOVA
(Hotelling 𝑇 2 test)
H0 (center data per conditions then resample subjects and use bootstrapped 𝐹 values)H0 (center data per conditions then resample subjects and use bootstrapped 𝐹 values)