acc.1test {DTComPair} | R Documentation |
Sensitivity and specificity, (positive and negative) predictive values and (positive and negative) diagnostic likelihood ratios of a single binary diagnostic test.
acc.1test(tab, alpha, testname, ...)
tab |
An object of class |
alpha |
Significance level alpha for 100(1-alpha)%-confidence intervals, the default is 0.05. |
testname |
A character variable containing the name of the diagnostic test. |
... |
Additional arguments (usually not required). |
The calculation of accuracy measures and their variances follows standard methodology, e.g. described in Pepe (2003) or Zhou et al. (2011). Confidence intervals for diagnostic likelihood ratios are computed according to Simel et al. (1991).
A list of class acc.1test
:
tab |
A contingency table (matrix) of test results; the same
| ||||||||||||||||
sensitivity |
A numeric vector containing the estimated sensitivity ( | ||||||||||||||||
specificity |
A numeric vector containing the estimated specificity ( | ||||||||||||||||
ppv |
A numeric vector containing the estimated positive predictive value ( | ||||||||||||||||
npv |
A numeric vector containing the estimated negative predictive value ( | ||||||||||||||||
pdlr |
A numeric vector containing the estimated positive diagnostic likelihood ratio ( | ||||||||||||||||
ndlr |
A numeric vector containing the estimated negative diagnostic likelihood ratio ( | ||||||||||||||||
alpha |
The significance level alpha used to compute 100(1-alpha)%-confidence intervals, the default is 0.05. | ||||||||||||||||
testname |
A character variable containing the name of the diagnostic test. |
Pepe, M. (2003). The statistical evaluation of medical tests for classifcation and prediction. Oxford Statistical Science Series. Oxford University Press, 1st edition.
Simel, D.L., Samsa, G.P., Matchar, D.B. (1991). Likelihood ratios with confidence: sample size estimation for diagnostic test studies. J Clin Epidemiol, 44(8):763-70.
Zhou, X., Obuchowski, N., and McClish, D. (2011). Statistical Methods in Diagnostic Medicine. Wiley Series in Probability and Statistics. John Wiley & Sons, Hoboken, New Jersey, 2nd edition.
tab.1test
,
print.acc.1test
,
acc.paired
.
data(Paired1) # Hypothetical study data
a1 <- tab.1test(d=d, y=y1, data=Paired1)
a2 <- acc.1test(a1)
print(a2)