tip_rr | R Documentation |
choose one of the following, and the other will be estimated:
exposure_confounder_effect
confounder_outcome_effect
tip_rr(
effect_observed,
exposure_confounder_effect = NULL,
confounder_outcome_effect = NULL,
verbose = getOption("tipr.verbose", TRUE)
)
tip_rr_with_continuous(
effect_observed,
exposure_confounder_effect = NULL,
confounder_outcome_effect = NULL,
verbose = getOption("tipr.verbose", TRUE)
)
effect_observed |
Numeric positive value. Observed exposure - outcome risk ratio. This can be the point estimate, lower confidence bound, or upper confidence bound. |
exposure_confounder_effect |
Numeric. Estimated difference in scaled means between the unmeasured confounder in the exposed population and 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: |
Data frame.
## to estimate the relationship between an unmeasured confounder and outcome
## needed to tip analysis
tip_rr(1.2, exposure_confounder_effect = -2)
## to estimate the number of unmeasured confounders specified needed to tip
## the analysis
tip_rr(1.2, exposure_confounder_effect = -2, confounder_outcome_effect = .99)
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