simpoisson: Simulate data for poisson regression
In tagteam/heaven: Data Preparation Routines for Medical Registry Data

simpoisson

R Documentation

Simulate data for poisson regression

Description

Simulate from piecewise constant exponential regression model with two binary variables X, Z whose distributions and effects may vary in time intervals.

Usage

simpoisson(
  N,
  changepoints,
  baseline,
  beta,
  gamma,
  delta = 0,
  comprisk,
  alpha,
  zeta,
  px,
  pz,
  pv = NULL,
  pxz = 0,
  const = "none"
)

Arguments

`N`	sample size.
`changepoints`	borders of time intervals.
`baseline`	baseline rate in intervals.
`beta`	effect of X (log hazard ratio).
`gamma`	effect of Z (log hazard ratio).
`delta`	effect of V (log hazard ratio).
`comprisk`	rate of competing risk event.
`alpha`	effect of X on competing risk (log hazard ratio).
`zeta`	effect of Z on competing risk (log hazard ratio).
`px`	probability of X in intervals.
`pz`	probability of Z in intervals.
`pv`	probability vector for categories of V.
`pxz`	effect of Z on X (log odds ratio).
`const`	Whether the distributions of X and Z vary over time is controlled with argument ‘const’. const="XZ" means that both X and Z do not change over time. const="X" means that only X does not change over time. const="Z" means that only Z does not change over time.