metatrial: Generate meta-analysis data and calculate estimator

In softloud/metasim: Simulate Meta-Analytic Data

Description

Simulate data based on simulation parameters and meta-analyse.

Usage

metatrial(measure = "median", measure_spread = "iqr", tau_sq = 0.6,
  effect_ratio = 1.2, rdist = "norm", parameters = list(mean = 50, sd
  = 0.2), n_df = sim_n(k = 3), knha = TRUE, true_effect = 50,
  test = "knha")

Arguments

effect_ratio	ratio of population effects intervention / control
rdist	string indicating distribution, "norm", "lnorm", "exp", or "pareto"
n_df	data.frame of sample sizes, such as output by meta_n.
true_effect	The value of the control population median.
test	"knha" or "z" for metafor::rma.

Details

NB: bias is effect - true effect.

softloud/metasim documentation built on July 15, 2019, 8:02 p.m.