The empirical replicability of task-based fMRI as a function of sample size.
Han BossierSanne P. RoelsRuth SeurinckTobias BanaschewskiGareth J. BarkerArun L. W. BokdeErin Burke QuinlanSylvane DesrivièresHerta FlorAntoine GrigisHugh GaravanPenny A. GowlandAndreas HeinzBernd IttermannJean-Luc MartinotEric ArtigesFrauke NeesDimitri Papadopoulos-OrfanosBeatrijs MoerkerkePublished in: NeuroImage (2020)
Keyphrases
- sample size
- finite sample
- small sample
- variance reduction
- model selection
- confidence intervals
- small sample size
- covariance matrix
- upper bound
- experimental design
- number of training samples
- random sampling
- statistical tests
- progressive sampling
- statistical hypothesis testing
- pac learning
- vc dimension
- human brain
- random sample
- regression model
- small samples
- statistical power
- data sets
- linear model
- worst case
- data structure
- machine learning