Table 2.
Methodological decisions to improve quality in prediction models
| Criteria17 | Methodological decisions to improve quality |
| Study design | |
| Inception cohort |
|
| Source population |
|
| Inclusion and exclusion criteria |
|
| Prospective design |
|
| Study attrition | |
| No of drop-outs |
|
| Information provided on method of management of missing data |
|
| Predictive factors | |
| All predictive factors described used to develop the model |
|
| Standardised or valid measurements |
|
| Linearity assumption studied |
|
| No dichotomisation of predictive variables |
|
| Data presentation all predictive factors |
|
| Outcome measures | |
| Description of outcome measures |
|
| Standardised or valid measurements |
|
| Data presentation of most important outcome measures |
|
| Analysis | |
| Presentation of univariate crude estimates |
|
| Sufficient numbers of subjects per variable |
|
| Selection method of variables explained |
|
| Presentation of multivariate estimates |
|
| Clinical performance/validity | |
| Clinical performance |
|
| Internal validation |
|
| External validation | Not a focus of this study |