Prediction and Inference With Missing Data in Patient Alert Systems

Mathematics

• Missing Data 80%
• Predictors 71%
• Prediction 61%
• Uncertainty 38%
• Imputation 36%
• Probit Regression 23%
• Probit Model 20%
• Normal Mixture 20%
• Missing at Random 19%
• Multivariate Regression 18%
• Missing Values 18%
• Latent Variables 17%
• Straight 16%
• Bayesian Approach 15%
• Exception 15%
• Paradigm 15%
• Regression Model 12%
• Unit 10%
• Norm 9%
• Standards 8%

Business & Economics

• Predictors 82%
• Inference 63%
• Prediction 63%
• Imputation 40%
• Uncertainty 27%
• Multivariate Probit 22%
• Missing Values 21%
• Adverse Events 20%
• Bayesian Approach 17%
• Regression Model 12%
• Paradigm 11%
• Health 10%