Random-effects (DerSimonian-Laird) meta-analytic pooling

Usage

random_effects_meta(
  estimates,
  standard_errors,
  confidence = 0.95,
  method = "DL"
)

Arguments

estimates: Numeric vector of effect-size estimates.
standard_errors: Numeric vector of SEs.
confidence: Confidence level. Default 0.95.
method: Tau^2 estimator. Only "DL" implemented.

Value

A morie_effect_size with tau^2, I^2, Q, prediction interval in extra.

Examples

random_effects_meta(c(0.20, 0.35, 0.15), c(0.08, 0.10, 0.07))
#> $measure
#> [1] "Random-effects meta-analysis (DL)"
#> 
#> $estimate
#> [1] 0.2158522
#> 
#> $ci_lower
#> [1] 0.1081241
#> 
#> $ci_upper
#> [1] 0.3235802
#> 
#> $se
#> [1] 0.0549643
#> 
#> $n
#> [1] 3
#> 
#> $extra
#> $extra$tau_squared
#> [1] 0.002406808
#> 
#> $extra$tau
#> [1] 0.04905922
#> 
#> $extra$I_squared
#> [1] 26.20575
#> 
#> $extra$Q
#> [1] 2.710238
#> 
#> $extra$Q_p_value
#> [1] 0.2579166
#> 
#> $extra$prediction_interval_lower
#> [1] -0.7202667
#> 
#> $extra$prediction_interval_upper
#> [1] 1.151971
#> 
#> 
#> attr(,"class")
#> [1] "morie_effect_size" "list"