summary.mecor: Summarizing Measurement Error Correction

In LindaNab/mecor: Measurement Error Correction in Linear Models with a Continuous Outcome

Description

summary method for class "mecor"

Usage

## S3 method for class 'mecor'
summary(object, alpha = 0.05, zerovar = FALSE, fieller = FALSE, ...)

Arguments

object	an object of class "mecor", a result of a call to mecor.
alpha	probability of obtaining a type II error.
zerovar	a boolean indicating whether standard errors and confidence intervals using the zerovariance method must be added to the summary object.
fieller	a boolean indicating whether confidence intervals using the fieller method must be added to the summary object.
...	additional arguments affecting the summary produced

Value

The function summary.mecor returns a list of summary statistics of the fitted corrected model and fitted uncorrected model.

call	the matched call
c	summary of the corrected fit
uc	summary of the uncorrected fit
B	number of bootstrap replicates used
alpha	alpha level used

See Also

The model fitting function mecor, summary

Examples

## measurement error in a covariate:
# internal covariate-validation study
data(vat)
mecor_fit <- mecor(ir_ln ~ MeasError(wc, reference = vat) + sex + age + tbf,
                   data = vat,
                   method = "standard")
summary(mecor_fit)
summary(mecor_fit, zerovar = TRUE, fieller = TRUE)
summary(mecor_fit, alpha = 0.10)

LindaNab/mecor documentation built on Dec. 15, 2021, 6:59 p.m.