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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