Useful publications¶

Journal articles¶

Mumford 2012: A Power calculation guide for fMRI studies
Durnez et al 2016: Power and sample size calculations for fMRI studies based on the prevalence of active peaks
Schönbrodt et al 2017: Sequential Hypothesis Testing With Bayes Factors: Efficiently Testing Mean Differences
Schönbrodt and Wagenmakers 2018: Bayes factor design analysis: Planning for compelling evidence
Durnez et al 2018: Neurodesign: Optimal experimental designs for task fMRI
Chen et al 2019: Handling Multiplicity in Neuroimaging Through Bayesian Lenses with Multilevel Modeling
Ostwald et al 2019: Power, positive predictive value, and sample size calculations for random field theory-based fMRI inference
Ellis et al 2019: Facilitating open-science with realistic fMRI simulation: validation and application (code on github, site)

Lakens 2017: How a power analysis implicitly reveals the smallest effect size you care about
Mumford 2016: A power analysis approach that needs to end