es_from_user_crude function

Directly input a value + variance of an effect size measure

Directly input a value + variance of an effect size measure

es_from_user_crude( measure, user_es_measure_crude, user_es_crude, user_se_crude, user_ci_lo_crude, user_ci_up_crude, max_asymmetry = 10 )

Arguments

  • measure: the effect size measure used in calculations (must be one of the 11 effect size measures available in metaConvert)
  • user_es_measure_crude: the name of the effect size measure that will appear when this function is called by the convert_df function (can be any character string)
  • user_es_crude: effect size value
  • user_se_crude: standard error of the effect size
  • user_ci_lo_crude: lower bound of the 95% CI around the effect size value
  • user_ci_up_crude: upper bound of the 95% CI around the effect size value
  • max_asymmetry: A percentage indicating the tolerance before detecting asymmetry in the 95% CI bounds.

Returns

This function allows to directly input any of the 11 effect size measures

natural effect size measureAny of the 11 available measures
converted effect size measureNo conversion performed
required input dataSee 'Section 23. User's input (crude)'
https://metaconvert.org/input.html

Details

This function is a generic function allowing to include any crude effect size measure value + variance. Importantly, with this function, no conversions are performed (i.e., the effect size value + variance you enter is the value + variance exported by this function).

Examples

dat = data.frame(measure = "OR", user_es_measure_crude = "mortality rate ratio", user_es_crude = -0.04, user_se_crude = 0.2) summary(convert_df(dat, measure="logor"))
  • Maintainer: Corentin J. Gosling
  • License: GPL (>= 3)
  • Last published: 2025-04-11

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