Description Usage Arguments Details Value References Examples

These helper functions are mostly used internally to convert effect measures for the calculation of E-values. The approximate conversion of odds and hazard ratios to risk ratios depends on whether the rare outcome assumption is made.

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`est` |
The effect estimate; constructed with one of |

`rare` |
When converting a |

`delta` |
When converting an |

`...` |
Arguments passed to other methods. |

Uses the conversions listed in Table 2 of VanderWeele TJ, Ding P.
*Sensitivity Analysis in Observational Research: Introducing the E-Value.*
Annals of Internal Medicine. 2017;167(4):268–75.

See references.

Regarding the continuous outcome, the function uses the effect-size conversions in Chinn (2000) and VanderWeele (2017) to approximately convert the mean difference between these exposure "groups" to the odds ratio that would arise from dichotomizing the continuous outcome.

An object of class "estimate" and the desired effect measure. Also includes as an attribute its conversion history.

Chinn, S (2000). A simple method for converting an odds ratio to
effect size for use in meta-analysis. *Statistics in Medicine*, 19(22),
3127-3131.

VanderWeele, TJ (2017). On a square-root transformation of the odds ratio for
a common outcome. *Epidemiology*, 28(6), e58.

VanderWeele TJ (2020). *Optimal approximate conversions of odds ratios and
hazard ratios to risk ratios.* Biometrics.

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