episensr (version 0.7.1)

mbias: Sensitivity analysis to correct for selection bias caused by M bias.

Description

Simple sensitivity analysis to correct for selection bias caused by M bias using estimates of the odds ratios relating the variables.

Usage

mbias(or, var)

Arguments

or

Vector defining the input bias parameters, in the following order:

1. Odds ratio between A and the exposure E,
2. Odds ratio between A and the collider C,
3. Odds ratio between B and the collider C,
4. Odds ratio between B and the outc

var

Vector defining variable names, in the following order:

1. Outcome,
2. Exposure,
3. A,
4. B,
5. Collider.

Value

• A list with elements:
• mbias.parms
  Maximum bias parameters.
• adj.measures
  Selection bias corrected measures.
• bias.parms
  Input bias parameters.

References

Greenland S. Quantifying biases in causal models: classical confounding vs. collider-stratification bias. Epidemiology 2003;14:300-6.

Examples

mbias(or = c(2, 5.4, 2.5, 1.5, 1),
var = c("HIV", "Circumcision", "Muslim", "Low CD4", "Participation"))