prediction model methods
aghaynes opened this issue · comments
Alan Haynes commented
Calculating the sample size required for developing a clinical prediction model
Binary
- A note on estimating the Cox-Snell R2 from a reported C statistic (AUROC) to inform sample size calculations for developing a prediction model with a binary outcome
- Sample size for binary logistic prediction models: Beyond events per variable criteria
- No rationale for 1 variable per 10 events criterion for binary logistic regression analysis
- Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes (pmsampsize for stata and R)
- Minimum sample size for external validation of a clinical prediction model with a binary outcome
Multinomial
Continuous
- Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes
- Minimum sample size for external validation of a clinical prediction model with a continuous outcome
Adaptive sample size determination for the development of clinical prediction models