simulateControls: Simulate (negative) controls

In EmpiricalCalibration: Routines for Performing Empirical Calibration of Observational Study Estimates

Simulate (negative) controls

Description

Simulate (negative) controls

Usage

simulateControls(
  n = 50,
  mean = 0,
  sd = 0.1,
  seLogRr = runif(n, min = 0.01, max = 0.2),
  trueLogRr = 0
)

Arguments

n	Number of controls to simulate.
mean	The mean of the error distribution (on the log RR scale).
sd	The standard deviation of the error distribution (on the log RR scale).
seLogRr	The standard error of the log of the relative risk. This is recycled for the controls. The default is to sample these from a uniform distribution.
trueLogRr	The true relative risk (on the log scale) used to generate these controls. This is recycled for the controls.

Details

Generate point estimates given known true effect sizes and standard errors

Examples

data <- simulateControls(n = 50 * 3, mean = 0.25, sd = 0.25, trueLogRr = log(c(1, 2, 4)))
plotTrueAndObserved(data$logRr, data$seLogRr, data$trueLogRr)

EmpiricalCalibration documentation built on Sept. 30, 2024, 9:12 a.m.