View source: R/adjust_coefficient.R
adjust_or_with_binary | R Documentation |
Adjust an observed odds ratio with a binary confounder
adjust_or_with_binary( effect_observed, exposed_confounder_prev, unexposed_confounder_prev, confounder_outcome_effect, verbose = TRUE, or_correction = FALSE )
effect_observed |
Numeric positive value. Observed exposure - outcome odds ratio. This can be the point estimate, lower confidence bound, or upper confidence bound. |
exposed_confounder_prev |
Numeric between 0 and 1. Estimated prevalence of the unmeasured confounder in the exposed population |
unexposed_confounder_prev |
Numeric between 0 and 1. Estimated prevalence of the unmeasured confounder in the unexposed population |
confounder_outcome_effect |
Numeric positive value. Estimated relationship between the unmeasured confounder and the outcome |
verbose |
Logical. Indicates whether to print informative message.
Default: |
or_correction |
Logical. Indicates whether to use a correction factor.
The methods used for this function are based on risk ratios. For rare
outcomes, an odds ratio approximates a risk ratio. For common outcomes,
a correction factor is needed. If you have a common outcome (>15%),
set this to |
Data frame.
adjust_or_with_binary(3, 1, 0, 3) adjust_or_with_binary(3, 1, 0, 3, or_correction = TRUE)
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