hivtest {lcca} | R Documentation |
This dataset concerns the diagnostic accuracy of tests for HIV infection. Results of four different tests are reported for 428 high-risk patients. 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.
hivtest
a data frame with 9 rows and 5 variables:
A
test result from radioimmunoassay (RIA) utilizing recombinant agl21 (1=negative, 2=positive)
B
test result from RIA utilizing purified HIV p24 (1=negative, 2=positive)
C
test result from RIA utilizing purified HIV gpl20 (1=negative, 2=positive)
D
test result from enzyme-linked immunosorbent assay (1=negative, 2=positive)
COUNT
frequency; number of patients exhibiting the given pattern of results
Yang, I and Becker, M.P. (1997) Latent variable modeling of diagnostic accuracy. Biometrics, 53, 948-958.
For example analyses of this dataset using functions in
the LCCA package, see the manual LCCA Package for R, Version 1
in the subdirectory doc
.