es_from_means_se_pre_post: Convert pre-post means of two independent groups into various...

In metaConvert: An Automatic Suite for Estimation of Various Effect Size Measures

Convert pre-post means of two independent groups into various effect size measures

Description

Convert pre-post means of two independent groups into various effect size measures

Usage

es_from_means_se_pre_post(
  mean_pre_exp,
  mean_exp,
  mean_pre_se_exp,
  mean_se_exp,
  mean_pre_nexp,
  mean_nexp,
  mean_pre_se_nexp,
  mean_se_nexp,
  n_exp,
  n_nexp,
  r_pre_post_exp,
  r_pre_post_nexp,
  smd_to_cor = "viechtbauer",
  pre_post_to_smd = "bonett",
  reverse_means_pre_post
)

Arguments

mean_pre_exp	mean of the experimental/exposed group at baseline
mean_exp	mean of the experimental/exposed group at follow up
mean_pre_se_exp	standard error of the experimental/exposed group at baseline
mean_se_exp	standard error of the experimental/exposed group at follow up
mean_pre_nexp	mean of the non-experimental/non-exposed group at baseline
mean_nexp	mean of the non-experimental/non-exposed group at follow up
mean_pre_se_nexp	standard error of the non-experimental/non-exposed group at baseline
mean_se_nexp	standard error of the non-experimental/non-exposed group at follow up
n_exp	number of the experimental/exposed group
n_nexp	number of the non-experimental/non-exposed group
r_pre_post_exp	pre-post correlation in the experimental/exposed group
r_pre_post_nexp	pre-post correlation in the non-experimental/non-exposed group
smd_to_cor	formula used to convert the cohen_d value into a coefficient correlation (see details).
pre_post_to_smd	formula used to convert the pre and post means/SD into a SMD (see details).
reverse_means_pre_post	a logical value indicating whether the direction of generated effect sizes should be flipped.

Details

This function converts the pre/post standard errors of two independent groups into standard deviations (Section 6.5.2.2 in the Cochrane Handbook).

mean\_pre\_sd\_exp = mean\_pre\_se\_exp * \sqrt{n\_exp}

mean\_pre\_sd\_nexp = mean\_pre\_se\_nexp * \sqrt{n\_nexp}

mean\_sd\_exp = mean\_se\_exp * \sqrt{n\_exp}

mean\_sd\_nexp = mean\_se\_nexp * \sqrt{n\_nexp}

Then, calculations of the es_from_means_sd_pre_post() are applied.

Value

This function estimates and converts between several effect size measures.

natural effect size measure	MD + D + G
converted effect size measure	OR + R + Z
required input data	See 'Section 15. Paired: pre-post means and dispersion'
	https://metaconvert.org/input.html

References

Higgins JPT, Li T, Deeks JJ (editors). Chapter 6: Choosing effect size measures and computing estimates of effect. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.3 (updated February 2022). Cochrane, 2022. Available from www.training.cochrane.org/handbook.

Examples

es_from_means_sd_pre_post(
  n_exp = 36, n_nexp = 35,
  mean_pre_exp = 98, mean_exp = 102,
  mean_pre_sd_exp = 16, mean_sd_exp = 17,
  mean_pre_nexp = 96, mean_nexp = 102,
  mean_pre_sd_nexp = 14, mean_sd_nexp = 15,
  r_pre_post_exp = 0.8, r_pre_post_nexp = 0.8
)

metaConvert documentation built on April 12, 2025, 1:09 a.m.