hivtest: HIV test dataset

In cvam: Coarsened Variable Modeling

HIV test dataset

Description

This dataset concerns the diagnostic accuracy of tests for HIV infection. Four different tests (A, B, C, and D) were applied to 428 high-risk patients. The result from each test is either negative ("neg") or positive ("pos"). Yang and Becker (1997) applied latent-class analysis to these data to estimate the sensitivity and specificity of these tests in the absence of a gold standard.

Usage

hivtest

Format

a data frame with 9 rows and 5 variables:

A

test result from radioimmunoassay (RIA) utilizing recombinant agl21

B

test result from RIA utilizing purified HIV p24

C

test result from RIA utilizing purified HIV gpl20

D

test result from enzyme-linked immunosorbent assay

COUNT

frequency; number of patients exhibiting the given pattern of results

Source

Yang, I and Becker, M.P. (1997) Latent variable modeling of diagnostic accuracy. Biometrics, 53, 948-958.

cvam documentation built on March 7, 2023, 5:29 p.m.