episensr (version 2.1.0)

confounders_limit: Bounding the bias limits of unmeasured confounding.

Description

Function to elicit the limits on measures of effect corrected for an unmeasured confounder when only some of the bias parameters are known. Crude relative risk between exposure and outcome has minimally to be provided. Up to 3 other parameters can be entered.

Usage

confounders_limit(
  p = NA,
  RR = NA,
  OR = NA,
  crude_RR = NULL,
  crude.RR = deprecated()
)

Value

A list with elements:

model

Bias analysis performed.

bias_parms

Input bias parameters.

adj_measures

Output results.

Arguments

p

Proportion with the confounder among the unexposed group.

RR

Relative risk between the confounder and the outcome.

OR

Odds ratio between the confounder and the outcome.

crude_RR

Crude relative risk between the exposure and the outcome.

crude.RR

Deprecated. Please use crude_RR.

References

Fox, M.P, MacLehose, R.F., Lash, T.L., 2021 Applying Quantitative Bias Analysis to Epidemiologic Data, pp.129--131, Springer.

Flanders, W. Dana, Khoury, Muin J., 1990. Indirect Assessment of Confounding: Graphic Description and Limits on Effect of Adjusting for Covariates. Epidemiology 1(3): 239--246.

See Also

Other confounding: confounders(), confounders_array(), confounders_evalue(), confounders_ext(), probsens_irr_conf()

Examples

confounders_limit(OR = 1.65, crude_RR = 1.5)