acc_cca: Complete Case Analysis, CCA

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

Complete Case Analysis, CCA

Description

Perform Complete Case Analysis, CCA, used for complete data and multiple imputation, MI.

Usage

acc_cca(data, test, disease, ci = FALSE, ci_level = 0.95, 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.
ci	View confidence interval (CI). The default is FALSE.
ci_level	Set the CI width. The default is 0.95 i.e. 95% CI.
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 list object containing:

acc_results

The accuracy results.

Examples

acc_cca(data = cad_pvb, test = "T", disease = "D")
acc_cca(data = cad_pvb, test = "T", disease = "D", ci = TRUE)

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