Pianificazione della dimensione del campione basata sulla simulazione per studi di neuroimaging utilizzando mappe della dimensione dell'effetto
Installa rapidamente la skill AI neuroimaging sample size calculator nel tuo ambiente di sviluppo tramite riga di comando
Fonte: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.
Traditional power analysis (e.g., using GPower for a t-test) fails for neuroimaging because it cannot account for the massive multiple comparisons problem, spatial correlation structure, or the multi-level nature of neuroimaging inference. Neuroimaging requires simulation-based approaches that generate synthetic datasets, apply the full analysis pipeline including multiple comparison correction, and estimate power...
A competent programmer without neuroimaging training would use standard power formulas and dramatically overestimate the power of a whole-brain analysis. They would not know that cluster-extent thresholds, random field theory corrections, and spatial smoothness all affect the effective number of tests, nor that pilot-data-based simulation is the gold standard for neuroimaging power analysis. This skill encodes the...
This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.
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npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill neuroimaging sample size calculatorBrowse more skills from haoxuanlithuai/awesome_cognitive_and_neuroscience_skills
Pianificazione della dimensione del campione basata sulla simulazione per studi di neuroimaging utilizzando mappe della dimensione dell'effetto Fonte: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.
Apri il tuo terminale o strumento da riga di comando (Terminal, iTerm, Windows Terminal, ecc.) Copia ed esegui questo comando: npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill neuroimaging sample size calculator Dopo l'installazione, la skill verrà configurata automaticamente nel tuo ambiente AI di coding e sarà pronta all'uso in Claude Code, Cursor o OpenClaw
https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills