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Additional file 1: of Distinction of cardiometabolic profiles among people ≥75 years with type 2 diabetes: a latent profile analysis

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posted on 2019-08-06, 04:47 authored by Antoine CHRISTIAENS, Michel HERMANS, Benoit BOLAND, Séverine HENRARD
Latent profile analysis: Model fit statistics. Evaluative information (Goodness-of-fit statistics) for each k-profile model, including Log likelihood, Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC) and Log Likelihood Ratio Test (LLRT). These statistics were used to select the best fitting number of profiles for the final latent profile anlaysis model. (DOCX 14 kb)

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Fonds De La Recherche Scientifique - FNRS

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