psfmi 1.0.0
  • Reference
  • Articles
    • Multiple Imputation and Bootstrapping - Method boot_MI
    • Multiple Imputation and Cross-validation - method cv_MI
    • Multiple Imputation and Cross-validation - Method cv_MI_RR
    • Workflow to Develop and Validate a Prediction model in Multiply Imputed data
    • Multiple Imputation and Bootstrapping - Method MI_boot
    • Multiple Imputation and Cross-validation - The MI_cv_naive method
    • Pooling AUC values
    • Pool Model Performance
    • Pooling and Selection of Cox Regression Models
    • Pooling and Selection of Linear Regression Models
    • Pooling and Selection of Logistic Regression Models
    • Working together: mice and psfmi
    • Stability analysis after Multiple Imputation
  • Changelog

Articles

All vignettes

Multiple Imputation and Bootstrapping - Method boot_MI
Multiple Imputation and Cross-validation - method cv_MI
Multiple Imputation and Cross-validation - Method cv_MI_RR
Workflow to Develop and Validate a Prediction model in Multiply Imputed data
Multiple Imputation and Bootstrapping - Method MI_boot
Multiple Imputation and Cross-validation - The MI_cv_naive method
Pooling AUC values
Pool Model Performance
Pooling and Selection of Cox Regression Models
Pooling and Selection of Linear Regression Models
Pooling and Selection of Logistic Regression Models
Working together: mice and psfmi
Stability analysis after Multiple Imputation

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