Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches

Keyphrases

• Clinical Prediction Model 100%
• Binary Outcome 100%
• Approaches Comparison 100%
• Risk Prediction 44%
• Multinomial Logistic Regression 22%
• Multiple Outcomes 22%
• Joint Risk 22%
• Bayesian Probit Model 22%
• Simulation Study 11%
• Multivariate Logistic Regression 11%
• Medical Applications 11%
• Nave 11%
• Multivariate Methods 11%
• Future Outcomes 11%
• Potential Relationships 11%
• Real-world Examples 11%
• Clinically Meaningful Outcomes 11%
• Conditional Independence 11%
• Residual Correlation 11%
• Conditionally Independent 11%
• Model Regression 11%
• Stacked Regression 11%
• Multi-outcome 11%
• Probabilistic Classifier Chains 11%
• Conditional Independence Assumption 11%
• Probabilistic Classification 11%

Mathematics

• Bayesian 100%
• Multinomial Logistic Regression 100%
• Conditional Independence 100%
• Residuals 50%
• Covariate 50%
• Simulation Study 50%
• Logistic Regression 50%
• Independence Assumption 50%