Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms

Keyphrases

• Sensitivity Analysis 100%
• Graph Framework 100%
• Missing Data Mechanism 100%
• Pattern Graph 100%
• Nonignorable Missingness 100%
• Public Dataset 16%
• Clinical Research 16%
• Safety-critical 16%
• Simulation Experiment 16%
• Real-world Problems 16%
• Clinical Observation 16%
• Assessability 16%
• Exponential Tilting 16%
• Missing Data Methods 16%
• MissForest 16%
• Missing Data Problem 16%
• Substantive Knowledge 16%
• KNN Imputer 16%
• Problem Features 16%
• Unweighting 16%
• Clinical Diagnosis 16%
• Non-ignorable 16%

Mathematics

• Missingness 100%
• Wide Range 50%
• Simulated Experiment 50%
• Clinical Diagnosis 50%
• Interpretability 50%
• Nonignorable Missing Data 50%
• Exponential Tilting 50%

Computer Science

• Graph Framework 100%
• Underlying Assumption 20%
• Interpretability 20%
• k-Nearest Neighbors Algorithm 20%