# Pages tagged with "statistics"

- Apply non-parametric statistics with clustering on TFRs of power that were computed with BESA
- Cluster-based permutation tests on event related fields
- Cluster-based permutation tests on time-frequency data
- Computing and reporting the effect size
- Defining electrodes as neighbours for cluster-level statistics
- Group analysis
- How can I define neighbouring sensors?
- How can I determine the onset of an effect?
- How can I test for correlations between neuronal data and quantitative stimulus and behavioral variables?
- How can I test whether a behavioral measure is phasic?
- How can I use the ivar, uvar, wvar and cvar options to precisely control the permutations?
- How does a difference in trial numbers per condition affect my statistical test
- How does ft_prepare_neighbours work?
- How NOT to interpret results from a cluster-based permutation test
- How to test an interaction effect using cluster-based permutation tests?
- Introduction to the FieldTrip toolbox
- Parametric and non-parametric statistics on event-related fields
- Reference documentation
- References to implemented methods
- Source statistics
- Statistical analysis and multiple comparison correction for combined MEG/EEG data
- Statistical analysis and multiple comparison correction for EEG data
- Stratify the distribution of one variable that differs in two conditions
- Use simulated ERPs to explore cluster statistics
- Using General Linear Modeling on time series data
- Using GLM to analyze NIRS timeseries data
- Using simulations to estimate the sample size for cluster-based permutation test
- Using threshold-free cluster enhancement for cluster statistics
- What is the idea behind statistical inference at the second-level?
- Why should I use the cfg.correcttail option when using statistics_montecarlo?