TABLE 2.
Goodness of fit indexes for one‐to‐three class brain parenchymal fraction latent growth class models in the Sunnybrook Dementia Study (SDS) and the Alzheimer's Disease Neuroimaging Initiative (ADNI)
| Model | Class | AIC | BIC | −2LL | Entropy | Probability | Proportion | n |
|---|---|---|---|---|---|---|---|---|
| SDS: | ||||||||
| 1 | 1 | 1847.668 | 1863.347 | 1837.668 | – | 1.000 | 1.000 | 170 |
| 2 | 1 | 1728.791 | 1753.877 | 1712.790 | 0.738 | 0.914 | 0.441 | 75 |
| 2 | – | – | – | – | 0.932 | 0.559 | 95 | |
| 3a | 1 | 1689.287 | 1723.781 | 1667.286 | 0.741 | 0.905 | 0.394 | 67 |
| 2 | – | – | – | – | 0.903 | 0.265 | 45 | |
| 3 | – | – | – | – | 0.824 | 0.341 | 58 |
| ADNI: | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1958.626 | 1974.700 | 1948.626 | – | 1.000 | 1.000 | 184 |
| 2 | 1 | 1791.203 | 1816.923 | 1775.204 | 0.770 | 0.939 | 0.667 | 120 |
| 2 | – | – | – | – | 0.919 | 0.333 | 64 | |
| 3a | 1 | 1676.049 | 1711.413 | 1654.048 | 0.842 | 0.871 | 0.138 | 23 |
| 2 | – | – | – | – | 0.929 | 0.368 | 67 | |
| 3 | – | – | – | – | 0.944 | 0.495 | 94 |
Note. aBest fitting model.
Abbreviations: AIC, Akaike information criteria; BIC, Bayesian information criteria; −2LL, −2 log likelihood; Probability, probability of latent class membership; Proportion, proportion for the latent classes based on estimated model; n, sample size.