Introduction | The ISARIC Model | Specifying Evidence (Uncertainty Quantification) | Sample size targets and rules | Sample size calculator (bpm_valsamp()) | Computing precision / VoI for a given sample size (bpm_valprec()) | Drawing the EVSI curve | References

What is bayespmtools? | Why use a Bayesian approach? | Quick Example | Step 1: Specify Your Evidence | Step 2: Define Your Targets | Step 3: Calculate Sample Size | Step 4: View Results | Next Steps | Key Functions | Getting Help | References

Introduction | Overview of the Configuration System | Current Configuration Files | Step-by-Step Guide to Adding a New Country | Step 1: Create the Configuration File | Step 2: Copy the Template Structure | Step 3: Parameter Categories to Configure | 3.1 Global Parameters | 3.2 Demographics and Population | 3.3 Smoking Patterns | 3.4 COPD Epidemiology | 3.5 Healthcare Costs | 3.6 Healthcare Utilization | Step 4: Data Collection Strategy | Essential Data Sources | Data Quality Considerations | Step 5: Parameter Estimation | 5.1 Regression Models | 5.2 Literature Meta-analysis | 5.3 Calibration | Step 6: Testing the New Configuration | 6.1 Test Loading | 6.2 Run Basic Simulation | 6.3 Validate Outputs | Step 7: Documentation | 7.1 Data Sources Documentation | 7.2 Parameter Assumptions | Example: Adding Germany | Quality Assurance | Validation Checklist | Common Issues and Solutions | Contributing Your Configuration | Conclusion

Understanding Input Parameters | Retrieving Input Parameters | Input Structure Overview | Detailed Input Categories | Global Parameters (global_parameters) | Agent Demographics (agent) | Smoking Parameters (smoking) | COPD Parameters (COPD) | Lung Function Parameters (lung_function) | Exacerbation Parameters (exacerbation) | Symptom Parameters (symptoms) | Outpatient Parameters (outpatient) | Diagnosis Parameters (diagnosis) | Medication Parameters (medication) | Cost Parameters (cost) | Utility Parameters (utility) | Manual/Advanced Parameters (manual) | Accessing Parameter Help and References | Running Simulations with Custom Inputs | Output Structure | Basic Output (results$basic) | Extended Output (results$extended) | Population Counts by Time | Smoking Status by Time | COPD Outcomes by Time | Diagnosis Outcomes | Exacerbation Outcomes | Death Outcomes | Cost and QALY Outcomes | Additional Summary Statistics | Symptom and GP Visit Outcomes | Medication Outcomes | Event History (results$events) | Event Matrix Columns (33 columns) | Event Type Codes | Record Modes | Complete Example: Cost-Effectiveness Analysis | Important Notes

1 Introduction | 2 The Study | 2.1 Background | What is a Dynamic Microsimulation? | Demographic and Risk Factor Module | COPD Occurence Module | Lung Function Module | Exacerbation Module | Exacerbation Severity | Mortality Module | Payoff Module | Smoking Module

Introduction | What is EPIC? | Installation | Quick Start: Your First Simulation | Simple Approach (Recommended) | Choosing a Jurisdiction: Canada vs US | Customizing Your Simulation | Understanding Inputs | Common Input Modifications | Understanding Settings | Choosing the Number of Agents | Getting Detailed Results | Extended Output | Individual Patient Data | Event Types | Open vs Closed Cohort | Comparing Scenarios | Advanced Usage | Custom Input Modifications | Running Multiple Simulations | Error Handling | Troubleshooting | Memory Errors | Session Issues | Next Steps | References

Introduction | Setup: A running example based on GUSTO data | Objective assessment of calibration on the cumulative domain | Using cumulcalib package for calibration assessment | Graphical assessment of calibration using cumulcalib package | How do different forms of miscalibrations look on the cumulative calibration plot? | A model that underestimates the risk | A model that overestimates the risk | Over-fittedd model

Background | What is UNLI? | UNLI with Application in VoI Analysis | 2D UNLI | Tutorial | Installation | Set-up | Simulated data | EVPI calculation

What is calibration plot? | A step-by-step guide.

What is intercept adjustment? | A step-by-step guide.

What is mROC? | Installation | How the package works | A step-by-step guide. | Important note: the statistical inference on comparing mROC and ROC cannot be used for internal validation. Such a test is made for external validation.