| 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)