BCRA4_3r: Model 4.5: MDES Calculator for 4-Level Random Effects Blocked...

In alishinski/CRTpower: Power Analysis for Cluster Randomized trials

Description

MDES for 4-Level Random Effects Blocked Cluster Random Assignment Designs

Usage

BCRA4_3r(R2_1, R2_2, R2_3, R2_4T, P, g_4, n, J, K, L, rho_4, rho_3, rho_2,
  omega_4, 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_3	Proportion of variance in the Level 3 outcome explained by the Level 3 covariates
R2_4T	Proportion of variance in treatment effect between Level-4 blocks explained by Level-4 covariates
P	Proportion of the level 3 units randomized to the treatment
g_4	Number of level 4 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 per level 4 unit
L	Number of level 4 units
rho_4	proportion of variance in outcome that is between level 4 units
rho_3	proportion of variance in outcome that is between level 3 units
rho_2	proportion of variance in outcome that is between level 2 units
omega_4	Level 4 treatment effect heterogeneity: variance in treatment effect across Level 4 units, standardized by the Level 4 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.