acc_dg2: PVB correction by Begg and Greenes' method 2 (deGroot et al,...

In wnarifin/PVBcorrect: Partial verification bias correction for estimates of accuracy measures in diagnostic accuracy studies

PVB correction by Begg and Greenes' method 2 (deGroot et al, one covariate)

Description

Perform PVB correction by Begg and Greenes' method 2 as described in deGroot et al (2011), in which it also includes PPV and NPV calculation. This is limited to only one covariate.

Usage

acc_dg2(data, test, disease, covariate, description = TRUE)

Arguments

data	A data frame, with at least "Test" and "Disease" variables.
test	The "Test" variable name, i.e. the test result. The variable must be in binary; positive = 1, negative = 0 format.
disease	The "Disease" variable name, i.e. the true disease status. The variable must be in binary; positive = 1, negative = 0 format.
covariate	The name(s) of covariate(s), i.e. other variables associated with either test or disease status. Specify as name vector, e.g. c("X1", "X2") for two or more variables. The variables must be in formats acceptable to GLM.
description	Print the name of this analysis. The default is TRUE. This can be turned off for repeated analysis, for example in bootstrapped results.

Value

A data frame object containing the accuracy results.

References

1. de Groot, J. A. H., Janssen, K. J. M., Zwinderman, A. H., Bossuyt, P. M. M., Reitsma, J. B., & Moons, K. G. M. (2011). Correcting for partial verification bias: a comparison of methods. Annals of Epidemiology, 21(2), 139–148.

Examples

acc_dg2(data = cad_pvb, test = "T", disease = "D", covariate = "X3")
  # equivalent to acc_ebg(), saturated_model

wnarifin/PVBcorrect documentation built on May 12, 2024, 4:13 p.m.