estimate_heterogeneity: Estimation of between-study heterogeneity

In felix-hof/hMean: Confidence Curves and P-Value Functions for Meta-Analysis

Estimation of between-study heterogeneity

Description

estimate_tau2 estimates the between-study heterogeneity \tau^{2} using an additive model. The resulting parameter \tau^2 is estimated through a call to metagen with TE = estimates and seTE = SEs. Other arguments to metagen can be passed via the ... argument. If no arguments are passed via ..., the following defaults are applied.

• sm = "md"

• method.tau = "REML"

• control = list(maxiter = 1e5, stepadj = 0.25)

However, each of these defaults can be overwritten via ....

estimate_phi estimates the the between-study heterogeneity \phi using a multiplicative model. The function is a modified version of Page 3 of:
Accounting for heterogeneity in meta-analysis using a multiplicative model - an empirical study, Mawdsley D. etal. 2016. DOI: 10.1002/jrsm.1216

Usage

estimate_tau2(estimates, SEs, ...)

estimate_phi(estimates, SEs)

Arguments

estimates	Numeric vector of effect estimates.
SEs	Numeric vector containing the standard errors of the effect estimates.
...	Further arguments that are passed to metagen.

Value

For estimate_tau2: the estimated heterogeneity parameter \tau^2, a numeric vector of length 1.

For estimate_phi: the estimated heterogeneity parameter \phi, a numeric vector of length 1.

Examples

    # Example estimates and std. errors
    estimates <- c(0.21, 0.53, 0.24, 0.32, 0.19)
    SEs <- c(0.19, 0.39, 0.7, 1, 0.97)

    # Estimating heterogeneity using the multiplicative model
    estimate_tau2(estimates = estimates, SEs = SEs)
    # Estimating heterogeneity using the multiplicative model
    estimate_phi(estimates = estimates, SEs = SEs)

felix-hof/hMean documentation built on Jan. 26, 2025, 4:59 p.m.