multisite.accuracy GUIs

Browser-based GUIs to estimate the accuracy of the predictions of a multisite machine-learning model, controlling the effects of the site.

This method was described and validated in:

• Solanes, A., Palau, P., Fortea, L., Salvador, R., Gonzalez-Navarro, L., Llach, C.D., Valenti, M., Vieta, E., Radua, J. (2021) Biased accuracy in multisite machine-learning studies due to incomplete removal of the effects of the site. Psychiatry Research: Neuroimaging, 314:111313.
• Solanes, A., Gosling, C.J., Fortea, L., Ortuno, M., Lopez-Soley, E., Llufriu, S., Madero, S., Martinez-Heras, E., Pomarol-Clotet, E., Solana, E., Vieta, E., Radua, J. (2021) Removing the effects of the site in brain imaging machine-learning - Measurement and extendable benchmark. Neuroimage, 265:119800.

Please choose the GUI (no worries, the method and calculations are the same):

• Shiny (better design and quicker)
• Classic (more robust)