Under the hood: the simulation engine2 days ago
Purpose | The model | Box 1: the simulation engine | From Box 1 to the package | Where this fits in the paper
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Estimating ITS parameters from pre-intervention data3 days ago
Overview | Using individual estimation functions | When to use individual functions | Using the all-in-one wrapper | Custom column names | Diagnostic plots | What if I have no pre-intervention data? | Handling non-standard situations | Date-indexed time column | Missing values | Very short pre-periods | Typical parameter ranges for monthly hospital data | References
PITS: Power of an ITS — CDSS/CFR worked example3 days ago
Motivating example | Step 1 — Load pre-intervention data | Step 2 — Estimate nuisance parameters | Step 3 — Specify the clinical hypothesis | Step 4 — Calculate power for a single design | Step 5 — Optimise with a design sweep | Step 6 — Plot a simulated ITS realisation | Step 7 — Sensitivity analysis | Step 8 — Multi-site analysis | Summary table | One-call shortcut | References
PITS: Power of an ITS — CDSS/CFR worked example15 days ago
Motivating example | Step 1 — Load pre-intervention data | Step 2 — Estimate nuisance parameters | Step 3 — Specify the clinical hypothesis | Step 4 — Calculate power for a single design | Step 5 — Optimise with a design sweep | Step 6 — Plot a simulated ITS realisation | Step 7 — Sensitivity analysis | Step 8 — Multi-site analysis | Summary table | One-call shortcut | References
Estimating ITS parameters from pre-intervention data15 days ago
Overview | Using individual estimation functions | When to use individual functions | Using the all-in-one wrapper | Custom column names | Diagnostic plots | What if I have no pre-intervention data? | Handling non-standard situations | Date-indexed time column | Missing values | Very short pre-periods | Typical parameter ranges for monthly hospital data | References
