Description Usage Arguments Value Examples

A type of bias. Declares that (differential) misclassification will be a component of interest in the multi-bias sensitivity analysis. Generally used within other functions; its output is returned invisibly.

1 2 3 4 5 6 | ```
misclassification(
...,
rare_outcome = FALSE,
rare_exposure = FALSE,
verbose = FALSE
)
``` |

`...` |
Arguments describing the type of misclassification. Currently two options: "outcome" or "exposure". |

`rare_outcome` |
Logical. Is the outcome rare enough that outcome odds
ratios approximate risk ratios? Only needed when considering exposure
misclassification. Note that |

`rare_exposure` |
Logical. Is the exposure rare enough that exposure odds ratios approximate risk ratios? Only needed when considering exposure misclassification. |

`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 | ```
# returns invisibly without print()
print(misclassification("outcome"))
# Calculate an E-value for misclassification
multi_evalue(est = RR(4),
biases = misclassification("exposure",
rare_outcome = TRUE, rare_exposure = TRUE))
``` |

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