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)