BCRA3_2r: Model 4.2: MDES Calculator for 3-Level Random Effects Blocked...

In alishinski/CRTpower: Power Analysis for Cluster Randomized trials

Description

MDEs for 3-Level Random Effects Blocked Cluster Random Assignment Designs

Usage

BCRA3_2r(R2_1, R2_2, R2_T3, P, g_3, n, J, K, rho_2, rho_3, omega_3,
  alpha = 0.05, power = 0.8, tails = 2)

Arguments

R2_1	Proportion of variance in level 1 outcome explained by level 1 covariates
R2_2	Proportion of variance in level 2 outcome explained by level 2 covariates
R2_T3	Proportion of between block variance in treatment effect explained by Level-3 covariates
P	Proportion of the level 3 units randomized to the treatment
g_3	Number of level 3 Covariates used
n	Mean # of level 1 units per level 2 unit
J	Mean # of level 2 units per level 3 unit
K	Number of level 3 units
rho_2	proportion of variance in outcome that is between level 2 units
rho_3	proportion of variance in outcome that is between level 3 units
omega_3	Level 3 treatment effect heterogeneity: variance in treatment effect across Level 3 units, standardized by Level-3 outcome variation
alpha	Probability of a type I error
power	Statistical power (1 - probability of type II error)
tails	One or two tailed test

Value

Minimum Detectable Effect Size

alishinski/CRTpower documentation built on May 22, 2019, 3:38 p.m.