es_from_2x2_prop {metaConvert}R Documentation

Convert the proportion of occurrence of a binary event in two independent groups into several effect size measures

Description

Convert the proportion of occurrence of a binary event in two independent groups into several effect size measures

Usage

es_from_2x2_prop(
  prop_cases_exp,
  prop_cases_nexp,
  n_exp,
  n_nexp,
  table_2x2_to_cor = "tetrachoric",
  reverse_prop
)

Arguments

prop_cases_exp

proportion of cases/events in the exposed group (ranging from 0 to 1)

prop_cases_nexp

proportion of cases/events in the non-exposed group (ranging from 0 to 1)

n_exp

total number of participants in the exposed group

n_nexp

total number of participants in the non exposed group

table_2x2_to_cor

formula used to obtain a correlation coefficient from the contigency table (see details).

reverse_prop

a logical value indicating whether the direction of generated effect sizes should be flipped.

Details

This function uses the proportions and sample size to recreate the 2x2 table, and then relies on the calculations of the es_from_2x2_sum() function.

The formulas used is to obtain the 2x2 table are

n\_cases\_exp = prop\_cases\_exp * n\_exp

n\_cases\_nexp = prop\_cases\_nexp * n\_nexp

n\_controls\_exp = (1 - prop\_cases\_exp) * n\_exp

n\_controls\_nexp = (1 - prop\_cases\_nexp) * n\_nexp

Value

This function estimates and converts between several effect size measures.

natural effect size measure OR + RR + NNT
converted effect size measure D + G + R + Z
required input data See 'Section 7. Contingency (2x2) table or proportions'
https://metaconvert.org/html/input.html

Examples

es_from_2x2_prop(prop_cases_exp = 0.80, prop_cases_nexp = 0.60, n_exp = 10, n_nexp = 20)

[Package metaConvert version 1.0.0 Index]