Introduction | 1. Input data format | 1.1 Converting short/wide data to long data | 2. Example dataset | 3. Method comparison | Methods implemented in CIMEHR | Outcome-only | IP-only | Imputation + IP-only | IP+IO | 4. Simpler benchmark methods first | 4.1 Summary-statistic regression | 4.2 Linear mixed model | 4.3 Pairwise likelihood | 5. Visiting-process and joint methods | 5.1 Inverse intensity rate ratio weighting | 5.2 Inverse intensity rate ratio balancing | 5.3 Liang--Lu--Ying joint visiting/outcome model | 5.4 EHRJoint | 6. Primary CIMEHR methods | 6.1 Base CIMEHR | 6.1.1 Stage-specific summaries and coefficient extraction | 6.2 CIMEHR with Gauss--Hermite quadrature | 6.3 CIMEHR with OU pairwise composite likelihood | 7. Comparing methods with method_comparisons() | 8. Simulation study | 9. Bootstrap inference | 10. Simulating custom data | References

Introduction | 1. Input data format | 1.1 Converting short/wide data to long data | 2. Example dataset | 3. Method comparison | Methods implemented in CIMEHR | Outcome-only | IP-only | Imputation + IP-only | IP+IO | 4. Simpler benchmark methods first | 4.1 Summary-statistic regression | 4.2 Linear mixed model | 4.3 Pairwise likelihood | 5. Visiting-process and joint methods | 5.1 Inverse intensity rate ratio weighting | 5.2 Inverse intensity rate ratio balancing | 5.3 Liang--Lu--Ying joint visiting/outcome model | 5.4 EHRJoint | 6. Primary CIMEHR methods | 6.1 Base CIMEHR | 6.1.1 Stage-specific summaries and coefficient extraction | 6.2 CIMEHR with Gauss--Hermite quadrature | 6.3 CIMEHR with OU pairwise composite likelihood | 7. Comparing methods with method_comparisons() | 8. Simulation study | 9. Bootstrap inference | 10. Simulating custom data | References