simulatePopulations: Simulate survival data for multiple databases

In EvidenceSynthesis: Synthesizing Causal Evidence in a Distributed Research Network

Simulate survival data for multiple databases

Description

Simulate survival data for multiple databases

Usage

simulatePopulations(settings = createSimulationSettings())

Arguments

settings

Either an object of type simulationSettings, created by the createSimulationSettings() function or an object of type sccsSimulationSettings as created by the createSccsSimulationSettings() function.

Value

A object of class simulation, which is a list of population data frames. Depending on the type of simulation, the data frames have different columns: Cox simulations will have the columns rowId, stratumId, x, time, and y. SCCS simulations will have the columns stratumId, a, x1...xN, time, and y.

Examples

settings <- createSimulationSettings(nSites = 1, hazardRatio = 2)
populations <- simulatePopulations(settings)

# Fit a Cox regression for the simulated data site:
cyclopsData <- Cyclops::createCyclopsData(Surv(time, y) ~ x + strata(stratumId),
  data = populations[[1]],
  modelType = "cox"
)
cyclopsFit <- Cyclops::fitCyclopsModel(cyclopsData)
coef(cyclopsFit)

# (Estimates in this example will vary due to the random simulation)

EvidenceSynthesis documentation built on Aug. 26, 2025, 9:08 a.m.