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refmeta

Random effects meta analysis


Description

Random effects meta analysis.

Usage

refmeta(yi, vi, tol = 1e-07)

Arguments

yi

The observations.

vi

This variances of the observations.

tol

The toleranve value to terminate Brent's algorithm.

Details

Random effects estimation, via restricted maximum likelihood estimation (REML), of the common mean.

Value

A vector with many elements. The fixed effects mean estimate, the \bar{v} estimate, the I^2, the H^2, the Q test statistic and it's p-value, the τ^2 estimate and the random effects mean estimate.

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

References

Annamaria Guolo and Cristiano Varin (2017). Random-effects meta-analysis: The number of studies matters. Statistical Methods in Medical Research, 26(3): 1500-1518.

See Also

Examples

y <- rnorm(30)
vi <- rexp(30, 3)
refmeta(y, vi)

Rfast2

A Collection of Efficient and Extremely Fast R Functions II

v0.0.9
GPL (>= 2.0)
Authors
Manos Papadakis, Michail Tsagris, Stefanos Fafalios and Marios Dimitriadis.
Initial release
2021-03-21

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