Table 2.
Akaike information criterion and goodness-of-fit statistics for each model, CampyLCA Study, France, 2016
| LCM CI | LCM CD | LCM SD | |
|---|---|---|---|
| Akaike information criterion | 1041.5 | 1023.9 | 1011.9 |
| Pearson statistics | |||
| Asymptotic χ2 distribution | <0.001 | 0.012 | 0.021 |
| Empirical distributiona | <0.001 | 0.022 | 0.052 |
| Likelihood ratio statistics | |||
| Asymptotic χ2 distribution | <0.001 | 0.052 | 0.52 |
| Empirical distributiona | <0.001 | 0.004 | 0.086 |
| Power divergence statistics | |||
| Asymptotic χ2 distribution | <0.001 | 0.039 | 0.20 |
| Empirical distributiona | <0.001 | 0.012 | 0.054 |
LCM CD, latent class model with a residual dependence common to all tests; LCM CI, latent class model under conditional independence; LCM SD, latent class model with a residual dependence specific to the three immunoenzymatic tests.
a
The P-value when using the empirical distribution was calculated as one minus the percentile of the statistic in 500 samples generated under the null assumption.