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Analyzing Clinical Significance: The Distribution-Based Approach1 years ago
Introduction | Reliable Change for Pre-Post Data | The Jacobson & Truax (JT) Method | Alternative RCI Methods | Reliable Change for Longitudinal Data (HLM) | Visualizing HLM Results | Summary and Next Steps
Analyzing Clinical Significance: The Anchor-Based Approach1 years ago
Introduction | Individual-Level Analysis | A Basic Example | Visualizing Individual Change | Analyzing by Group | Handling "Positive" Outcomes | Group-Level Analysis | Within-Group Analysis | Between-Group Comparison | Summary and Next Steps
Analyzing Clinical Significance: The Percentage-Change Approach1 years ago
Introduction | Basic Analysis | Visualizing the Results | Grouped Analysis | Using Different Cutoffs for Improvement and Deterioration
Analyzing Clinical Significance: The Statistical Approach1 years ago
Introduction | Defining Populations and Calculating a Cutoff | Example Analysis | Visualizing the Results | Grouped Analysis | Summary and Next Steps
Analyzing Clinical Significance: The Combined Approach1 years ago
Introduction | The Classic Jacobson & Truax (JT) Approach | Example Analysis | Visualizing the JT Approach | The Claus, Wager & Bonnet (CWB) Approach | Visualizing the CWB Approach | Summary and Next Steps