PET and CSF amyloid-β status are differently predicted by patient features: information from discordant cases

Table 4 Information gain of multivariable logistic regression models compared to univariate logistic regression including only amyloid modalities

This table illustrates the change in Akaike Information Criterion (AIC) from the bivariate models including only amyloid modalities (PET ~ CSF and CSF ~ PET) to multivariable models including also an additional predictor. AIC measures model fit and penalizes adding additional predictors. A decrease in AIC between models shows some (0–2), considerable (4–7), or strong (> 10) evidence for gain in model fit for the second model

ISSN: 1758-9193