View source: R/es_from_stand_OR.R
es_from_or_pval | R Documentation |
Convert an odds ratio value and its standard error to several effect size measures
es_from_or_pval(
or,
logor,
or_pval,
baseline_risk,
small_margin_prop,
n_exp,
n_nexp,
n_cases,
n_controls,
n_sample,
or_to_rr = "metaumbrella_cases",
or_to_cor = "bonett",
reverse_or_pval
)
or |
odds ratio value |
logor |
log odds ratio value |
or_pval |
p-value of the (log) odds ratio |
baseline_risk |
proportion of cases in the non-exposed group (only required for the |
small_margin_prop |
smallest margin proportion of the underlying 2x2 table |
n_exp |
number of participants in the exposed group (only required for the |
n_nexp |
number of participants in the non-exposed group (only required for the |
n_cases |
number of cases/events |
n_controls |
number of controls/no-event |
n_sample |
total number of participants in the sample |
or_to_rr |
formula used to convert the |
or_to_cor |
formula used to convert the |
reverse_or_pval |
a logical value indicating whether the direction of the generated effect sizes should be flipped. |
This function computes the standard error of the (log) odds ratio into from a p-value (Section 6.3.2 in the Cochrane Handbook).
logor\_z = qnorm(or_pval/2, lower.tail=FALSE)
logor\_se = |\frac{\log(or)}{logor\_z}|
Then, calculations of es_from_or_se()
are applied.
This function estimates and converts between several effect size measures.
natural effect size measure | OR |
converted effect size measure | RR + NNT |
D + G + R + Z | |
required input data | See 'Section 2. Odds Ratio' |
https://metaconvert.org/input.html | |
Higgins, J. P., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (Eds.). (2019). Cochrane handbook for systematic reviews of interventions. John Wiley & Sons.
es_or <- es_from_or_pval(
or = 3.51, or_pval = 0.001,
n_cases = 12, n_controls = 68
)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.