es_from_2x2_sum {metaConvert} | R Documentation |
Convert a table with the number of cases and row marginal sums into several effect size measures
Description
Convert a table with the number of cases and row marginal sums into several effect size measures
Usage
es_from_2x2_sum(
n_cases_exp,
n_exp,
n_cases_nexp,
n_nexp,
table_2x2_to_cor = "tetrachoric",
reverse_2x2
)
Arguments
n_cases_exp |
number of cases/events in the exposed group |
n_exp |
total number of participants in the exposed group |
n_cases_nexp |
number of cases/events in the non 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_2x2 |
a logical value indicating whether the direction of generated effect sizes should be flipped. |
Details
This function uses the number of cases in both the exposed
and non-exposed groups and the total number of participants exposed and non-exposed
to recreate a 2x2 table.
Then relies on the calculations of the es_from_2x2
function.
n\_controls\_exp = n\_exp - n\_cases\_exp
n\_controls\_nexp = n\_nexp - n\_cases\_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_sum(n_cases_exp = 10, n_exp = 40, n_cases_nexp = 25, n_nexp = 47)