es_from_or_ci {metaConvert}

Convert an odds ratio value and its 95% confidence interval to several effect size measures

Description

Convert an odds ratio value and its 95% confidence interval to several effect size measures

Usage

es_from_or_ci(
  or,
  or_ci_lo,
  or_ci_up,
  logor,
  logor_ci_lo,
  logor_ci_up,
  baseline_risk,
  small_margin_prop,
  n_exp,
  n_nexp,
  n_cases,
  n_controls,
  n_sample,
  or_to_cor = "bonett",
  or_to_rr = "metaumbrella_cases",
  reverse_or
)

Arguments

or

odds ratio value

or_ci_lo

lower bound of the 95% CI around the odds ratio value

or_ci_up

upper bound of the 95% CI around the odds ratio value

logor

log odds ratio value

logor_ci_lo

lower bound of the 95% CI around the log odds ratio value

logor_ci_up

upper bound of the 95% CI around the log odds ratio value

baseline_risk

proportion of cases in the non-exposed group (only required for the or_to_rr = "grant" argument).

small_margin_prop

smallest margin proportion of the underlying 2x2 table

n_exp

number of participants in the exposed group (only required for the or_to_rr = "grant", and or_to_rr = "metaumbrella_exp" arguments)

n_nexp

number of participants in the non-exposed group (only required for the or_to_rr = "grant", and or_to_rr = "metaumbrella_exp" arguments)

n_cases

number of cases/events

n_controls

number of controls/no-event

n_sample

total number of participants in the sample

or_to_cor

formula used to convert the or value into a correlation coefficient (see details).

or_to_rr

formula used to convert the or value into a risk ratio (see details).

reverse_or

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

Details

This function computes the standard error of the (log) odds ratio into a standard error (Section 6.5.2.2 in the Cochrane Handbook).

logor\_se = \frac{\log{or\_ci\_up} - \log{or\_ci\_lo}}{2 * qnorm(.975)}

Then, calculations of es_from_or_se are applied.

Value

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/html/input.html

References

Higgins JPT, Li T, Deeks JJ (editors). Chapter 6: Choosing effect size measures and computing estimates of effect. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.3 (updated February 2022). Cochrane, 2022. Available from www.training.cochrane.org/handbook.

Examples

es_or <- es_from_or_ci(
  or = 1, or_ci_lo = 0.5, or_ci_up = 2,
  n_cases = 42, n_controls = 38, baseline_risk = 0.08,
  or_to_rr = "grant"
)