Table 5.
Statistical power of goodness-of-fit statistics (in %) using empirical distribution to detect violation of the conditional independence hypothesis when applying LCM CI model, CampyLCA study, France, 2016
| True model | Pearson statistics | Likelihood ratio statistics | Power divergence statistics |
|---|---|---|---|
| LCM CD | 86.6 | 92.4 | 91.8 |
| LCM SD | 93.4 | 95.0 | 95.0 |
LCM CI, latent class model under conditional independence; LCM CD, latent class model with a residual dependence common to all tests; LCM SD, latent class model with a residual dependence specific to the three immunoenzymatic tests.
Statistical power is defined as the percentage of times the test concludes that observations and predictions significantly differ (at a 5% significance level) when they actually do.