A simulated dataset containing covariates, treatment, trial status, and longitudinal outcomes for demonstrating external control borrowing methods.
Usage
data(SyntheticData)Format
A data frame with 300 rows and 12 columns: 100 trial patients on
treatment (S = 1, A = 1), 100 trial controls
(S = 1, A = 0), and 100 external controls (S = 0,
A = 0). The covariates mimic a spinal muscular atrophy (SMA)
study.
- x1
SMA type: 0 = type II, 1 = type III.
- x2
SMN2 copy number: 0 = 3 copies, 1 = 4 copies.
- x3
Scoliosis: 0 = no, 1 = yes.
- x4
Age at enrollment, in years.
- x5
Baseline outcome.
- A
Treatment: 1 = treated, 0 = control.
- S
Trial status: 1 = trial patient, 0 = external control.
- T_cross
Last visit before trial controls cross over to treatment: 2 for all rows.
- y1, y2, y3, y4
Outcomes at visits 1 to 4.
Source
Simulated with simulate_trial(). The script is
data-raw/SyntheticData.R in the package source on GitHub.