multi_bias: Create a set of biases for a multi-bias sensitivity analysis

In EValue: Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses

Description

Multiple biases (confounding(), selection(), and/or misclassification()) can be assessed simultaneously after creating a multi_bias object using this function.

Usage

multi_bias(..., verbose = TRUE)

Arguments

...	Biases (confounding(), selection(), and/or misclassification()), each possibly including arguments specifying more detail about the bias of interest. Selection and confounding should be listed in the order in which they affect the data (see ordering of the biases)
verbose	Logical. If TRUE, returns warnings and messages immediately. Defaults to TRUE.

Value

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").

Examples

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.