TABLE 1.
Inpatient setting (n = 16) | Emergency department (n = 6) | Intensive care unit (n = 3) | Primary care (n = 1) | Overall (n = 26) | |
---|---|---|---|---|---|
Internal validation | |||||
Random splitting | 3 | 3 | 1 | 0 | 7 |
Bootstrapping | 6 | 1 | 1 | 1 | 9 |
Cross‐validation | 0 | 0 | 0 | 0 | 0 |
Combination of methods | 1 | 1 | 0 | 0 | 2 |
None | 6 | 1 | 1 | 0 | 8 |
Modelling method | |||||
Logistic regression | 11 | 5 | 3 | 1 | 20 |
Generalized linear model | 1 | 0 | 0 | 0 | 1 |
Classification and regression tree | 2 | 1 | 0 | 0 | 3 |
Machine learning | 1 | 0 | 0 | 0 | 1 |
More than one method | 1 | 0 | 0 | 0 | 1 |
Not reported | 0 | 0 | 0 | 0 | 0 |
Handling of missing data | |||||
Imputation | 4 | 1 | 0 | 1 | 6 |
No missing values | 0 | 0 | 0 | 0 | 0 |
Inappropriate handling | 2 | 0 | 0 | 0 | 2 |
Not reported | 10 | 5 | 3 | 0 | 18 |
Model discrimination | |||||
C‐statistic | 16 | 6 | 3 | 1 | 26 |
None | 0 | 0 | 0 | 0 | 0 |
Model calibration | |||||
Hosmer–Lemeshow test | 3 | 1 | 1 | 0 | 5 |
Calibration plot | 1 | 0 | 0 | 1 | 2 |
Hosmer–Lemeshow test and Calibration plot | 4 | 0 | 0 | 0 | 4 |
Other | 4 | 0 | 0 | 0 | 4 |
None | 4 | 5 | 2 | 0 | 11 |
Model presentation | |||||
Sum score | 9 | 4 | 1 | 0 | 14 |
Decision tree | 1 | 1 | 0 | 0 | 2 |
Nomogram | 1 | 1 | 0 | 0 | 2 |
Equation | 2 | 0 | 1 | 1 | 4 |
More than one method | 1 | 0 | 0 | 0 | 1 |
None | 2 | 0 | 1 | 0 | 3 |