Description Usage Arguments Value Examples

Multiple biases (`confounding()`

, `selection()`

, and/or
`misclassification()`

) can be assessed simultaneously after creating a
`multi_bias`

object using this function.

1 | ```
multi_bias(..., verbose = TRUE)
``` |

`...` |
Biases ( |

`verbose` |
Logical. If |

Invisibly returns a list with components whose values depend on the
options chosen: `n`

(the degree of the polynomial in the numerator), `d`

(the degree of the polynomial in the denominator), `m`

(the parameters in
the bias factor), `mess`

(any messages/warnings that should be printed for
the user), and `bias`

("misclassification").

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
biases <- multi_bias(confounding(),
selection("general"))
# print() lists the arguments for the multi_bound() function
print(biases)
# summary() provides more information
# with parameters in latex notation if latex = TRUE
summary(biases, latex = TRUE)
# Calculate a bound
multi_bound(biases = biases,
RRAUc = 1.5, RRUcY = 2, RRUsYA1 = 1.25,
RRSUsA1 = 4, RRUsYA0 = 3, RRSUsA0 = 2)
``` |

EValue documentation built on Oct. 28, 2021, 9:10 a.m.

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