trtStepWedge: Assign treatment for stepped-wedge design

In kgoldfeld/simstudy: Simulation of Study Data

Assign treatment for stepped-wedge design

Description

Assign treatment for stepped-wedge design

Usage

trtStepWedge(
  dtName,
  clustID,
  nWaves,
  lenWaves,
  startPer,
  perName = "period",
  grpName = "rx",
  lag = 0,
  xrName = "xr"
)

Arguments

dtName	data table
clustID	string representing name of column of cluster level ids
nWaves	number of treatment waves
lenWaves	the number of periods between waves
startPer	the starting period of the first wave
perName	string representing name of column of time periods
grpName	string representing variable name for treatment or exposure group
lag	integer representing length of transition period
xrName	string representing name of the field that indicates whether the cluster status is in transition status

Value

A data.table with the added treatment assignment

See Also

trtObserve trtAssign

Examples

defc <- defData(
  varname = "ceffect", formula = 0, variance = 0.10,
  dist = "normal", id = "cluster"
)
defc <- defData(defc, "m", formula = 10, dist = "nonrandom")

# Will generate 3 waves of 4 clusters each - starting 2, 5, and 8

dc <- genData(12, defc)
dp <- addPeriods(dc, 12, "cluster")
dp <- trtStepWedge(dp, "cluster",
  nWaves = 3,
  lenWaves = 3, startPer = 2
)
dp

dp <- addPeriods(dc, 12, "cluster")
dp <- trtStepWedge(dp, "cluster",
  nWaves = 2,
  lenWaves = 1, startPer = 4, lag = 3
)
dp

kgoldfeld/simstudy documentation built on April 14, 2024, 3:13 a.m.