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. 2022 Jan 31;12(1):e052119. doi: 10.1136/bmjopen-2021-052119

Table 2.

Methodological decisions to improve quality in prediction models

Criteria17 Methodological decisions to improve quality
Study design
Inception cohort
  • Clear description of population.

  • Clear description of the participants at baseline.

Source population
  • Clear description of population.

  • Clear description of sampling frame and recruitment (method and timing).

Inclusion and exclusion criteria
  • Clarity of eligibility criteria.

Prospective design
  • Clarity of study design

Study attrition
No of drop-outs
  • Adequate participation rate.

  • Clear description of attempts to collect information on participants who dropped out.

Information provided on method of management of missing data
  • Appropriate methods of imputation of missing data.

Predictive factors
All predictive factors described used to develop the model
  • Clear definition of predictive factors.

  • An adequate proportion of participants has completed data for the predictive factor.

Standardised or valid measurements
  • The measurement of the predictive factor is reliable and valid.

  • The measurement of the predictive factor is the same for all participants.

Linearity assumption studied
  • Linearity of data will be reported.

No dichotomisation of predictive variables
  • Continuous variables will be reported.

Data presentation all predictive factors
  • Complete data will be presented.

Outcome measures
Description of outcome measures
  • The outcome is clearly defined.

Standardised or valid measurements
  • The measurement of the outcome is reliable and valid.

  • The measurement of the outcome is the same for all participants.

Data presentation of most important outcome measures
  • Complete data will be presented.

Analysis
Presentation of univariate crude estimates
  • An appropriate strategy for model building is described.

  • An adequate statistical model described.

Sufficient numbers of subjects per variable
  • Adequate data will be presented.

Selection method of variables explained
  • Sufficient data will be presented to enable assessment of the adequacy of the analytic strategy.

  • All results will be reported.

Presentation of multivariate estimates
  • An appropriate strategy for model building is described.

  • An adequate statistical model described.

Clinical performance/validity
Clinical performance
  • Clinical performance of the model will be reported.

Internal validation
  • Internal validation will be reported

External validation Not a focus of this study