es_from_chisq_pval {metaConvert}R Documentation

Convert a p-value of a chi-square to several effect size measures

Description

Convert a p-value of a chi-square to several effect size measures

Usage

es_from_chisq_pval(
  chisq_pval,
  n_sample,
  n_cases,
  n_exp,
  yates_chisq = FALSE,
  reverse_chisq_pval
)

Arguments

chisq_pval

p-value of a chi-square coefficient

n_sample

total number of participants in the sample

n_cases

total number of cases/events

n_exp

total number of participants in the exposed group

yates_chisq

a logical value indicating whether the Chi square has been performed using Yate's correction for continuity.

reverse_chisq_pval

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

Details

This function converts a chi-square value (with one degree of freedom) into a chi-square coefficient (Section 3.12 in Lipsey et al., 2001):

chisq = qchisq(chisq\_pval, df = 1, lower.tail = FALSE)

Note that if yates_chisq = "TRUE", a small correction is added.

Then, the chisq coefficient is converted to other effect size measures (see es_from_chisq).

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 8. Phi or chi-square'
https://metaconvert.org/html/input.html

References

Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Sage Publications, Inc.

Examples

es_from_chisq_pval(chisq_pval = 0.2, n_sample = 42, n_exp = 25, n_cases = 13)

[Package metaConvert version 1.0.0 Index]