Grupo de Tecnologías para las Ciencias de la Salud MIT/X Consortium License Yes Universidad Politécnica de Madrid NITRC Longitudinal survival analysis and two-group comparison for predicting the progression of mild cognitive impairment to Alzheimer Yes MATLAB This toolbox compares two longitudinal approaches for predicting MCI-to-Alzheimer conversion using ADNI data: a) two-group comparison (LDA trained on LME trajectory residues) and b) survival analysis (extended Cox model with LME random effects). Input: longitudinal MRI markers (cortical thickness, subcortical volumes via FreeSurfer) and neuropsychological measurements with demographic covariates. Output: cross-validated AUC, accuracy, sensitivity and specificity at baseline, 12, 24 and 36 months. Language: MATLAB R2018b. Related papers: DOI 10.1016/j.jneumeth.2020.108698 (JNM 2020), DOI 10.1016/j.jneumeth.2022.109581 (JNM 2022), DOI 10.1177/25424823241306097 (JAD Reports 2025). Permanent archive: https://doi.org/10.5281/zenodo.19755827 2026-4-25 v2.0.0 2019-7-30 Code matlab2018b Longitudinal survival analysis and two-group comparison for predicting the progression of mild cognitive impairment to Alzheimer Clinical Neuroinformatics, MR, Computational Neuroscience, Alzheimer Disease, MATLAB, MIT/X Consortium License http://www.nitrc.org/projects/twogrsurvana/