interpret_oddsratio function

Interpret Odds Ratio

interpret_oddsratio(OR, rules = "cohen1988", p0 = NULL, log = FALSE, ...)

Arguments

• OR: Value or vector of (log) odds ratio values.
• rules: If "cohen1988" (default), OR is transformed to a standardized difference (via oddsratio_to_d()) and interpreted according to Cohen's rules (see interpret_cohens_d(); see Chen et al., 2010). If a custom set of rules() is used, OR is interpreted as is.
• p0: Baseline risk. If not specified, the d to OR conversion uses am approximation (see details).
• log: Are the provided values log odds ratio.
• ...: Currently not used.

Rules

Rules apply to OR as ratios, so OR of 10 is as extreme as a OR of 0.1 (1/10).

• Cohen (1988) ("cohen1988", based on the oddsratio_to_d() conversion, see interpret_cohens_d())

  • OR \< 1.44 - Very small
  • 1.44 \<= OR \< 2.48 - Small
  • 2.48 \<= OR \< 4.27 - Medium
  • OR \>= 4.27 - Large

Examples

interpret_oddsratio(1)
interpret_oddsratio(c(5, 2))

References

• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Ed.). New York: Routledge.
• Chen, H., Cohen, P., & Chen, S. (2010). How big is a big odds ratio? Interpreting the magnitudes of odds ratios in epidemiological studies. Communications in Statistics-Simulation and Computation, 39(4), 860-864.
• Sánchez-Meca, J., Marín-Martínez, F., & Chacón-Moscoso, S. (2003). Effect-size indices for dichotomized outcomes in meta-analysis. Psychological methods, 8(4), 448.