run_equitime_simulations: run_equitime_simulations

In fineiskid/scdlintrend: Effect Size Estimation in SCD Studies with Linear Trends

Description

calculate d and g estimates and variances for N simulations of an m x n multi-SCD studies.

Usage

run_equitime_simulations(N = 1000, m = 6, n = 20, k = 2, delta = 2,
  sigma = 1, tau = 1)

Arguments

N	number of simulations
m	number of cases in each multi-SCD study
n	number of time observations for each study
k	number of complete baseline/treatment cycles
delta	true effect size parameter
sigma	within-case variance
tau	inter-case variance

Value

d, var_d, g, var_g, d_param: N-vectors related to effect size estimates and variances, and d_param is the true delta parameter

Examples

sim_1000 <- run_equitime_simulations()
hist(sim_1000$d, col = 'grey80')
abline(h = sim_1000$d_param, col = 'red')

fineiskid/scdlintrend documentation built on May 16, 2019, 12:53 p.m.