ContICC {swdpwr}

A function for calculating ICCs for continuous outcomes given random effects variances

Description

This function calculates the within-period, between-period, and within-individual correlation parameters for continuous outcomes in a stepped wedge CRT

Usage

ContICC(
  type = "cross-sectional",
  sigma2 = 1,
  sigma_b = 0,
  sigma_c = 0,
  sigma_pi = NA
)

Arguments

type

choose the study type, specify type="cohort" for closed cohort study and type="cross-sectional" for cross-sectional study, default is "cross-sectional"

sigma2

marginal variance of the outcom, default is 1

sigma_b

variance of the between-cluster random effect, default is 0

sigma_c

variance of the cluster-by-time interaction random effect, default is 0

sigma_pi

variance of the random effect for repeated measures of one individual, this parameter should not be specified for cross-sectional studies, default is NA

Value

The object returned includes the study type and values for the ICCs in this study

Examples

ContICC(type="cohort",sigma2=1.5,sigma_b=0.5,sigma_c=0.2,sigma_pi=0.3)