Table 2.
Model | No. of Variables | BIC | Change in BIC | C-Statistic | Deviance Pa |
---|---|---|---|---|---|
Full | 87 | 638 187.4 | 0.918 | 1.0000 | |
Age | 72 | 638 167.8 | –19.6 | 0.918 | 1.0000 |
Comorbidities | 60 | 642 135.4 | 3948.0 | 0.917 | .0001 |
Acute noninfectious conditions | 77 | 645 064.7 | 4968.9 | 0.916 | .0001 |
Frailty indicators | 77 | 643 156.3 | 6877.3 | 0.917 | .0001 |
Septicemia | 86 | 651 908.3 | 13 720.9 | 0.915 | .0001 |
Infectionsb | 79 | 663 514.9 | 25 327.5 | 0.911 | .0001 |
Health care utilization | 72 | 702 080.9 | 63 893.5 | 0.897 | .0001 |
Abbreviations: BIC, Bayesian Information Criterion; CDI, Clostridium difficile infection.
aAs with other goodness of fit tests, the null hypothesis for the deviance statistic is that the model fits the data. Therefore, P < .05 indicates poor model fit.
bIncludes septicemia.