R: Confidence Intervals for Differences in Sensitivity and...
sesp.diff.ci
R Documentation
Confidence Intervals for Differences in Sensitivity and Specificity
Description
Calculates confidence intervals for differences in sensitivity and specificity of two binary diagnostic tests in a paired study design.
Usage
sesp.diff.ci(tab, ci.method, alpha, cont.corr)
Arguments
tab
An object of class tab.paired.
ci.method
The available methods are “wald” (Altman, 1991), “agresti-min” (Agresti and Min, 2005), “bonett-price” (Bonett and Price, 2011), and “tango” (Tango, 1998), the default is “wald”.
alpha
Significance level alpha for 100(1-alpha)%-confidence intervals for the difference in sensitivity and specificity, the default is 0.05.
cont.corr
A logical value indicating whether the continuity correction should be used (only available for ci.method="wald"), the default is FALSE.
Details
For details and recommendations see Newcombe (2012) and Wenzel and Zapf (2013).
Value
A list containing:
sensitivity
A vector containing
test1 (the sensitivity of test 1),
test2 (the specificity of test 2),
diff (the difference between the two sensitivities, computed as test2 - test1),
diff.se (the standard error of diff),
diff.lcl (the lower confidence limit of diff) and
diff.ucl (the upper confidence limit of diff).
specificity
A vector containing
test1 (specificity of test 1),
test2 (specificity of test 2),
diff (the difference between the two specificities, computed as test2 - test1),
diff.se (the standard error of diff),
diff.lcl (the lower confidence limit of diff) and
diff.ucl (the upper confidence limit of diff).
ci.method
The name of the method used to calculate confidence intervals.
alpha
The level alpha used to compute 100(1-alpha)%-confidence intervals.
cont.corr
A logical value indicating whether the continuity correction was applied.
References
Altman, D.G. (1991). Practical statistics for medical research. Chapman & Hall, London.
Agresti, A. and Min, Y. (2005). Simple improved confidence intervals for comparing matched proportions. Stat Med, 24(5): 729-40.
Bonett, D.G., and Price, R.M. (2011). Adjusted Wald confidence intervals for a difference of binomial proportions based on paired data. J Educ Behav Stat, 37(4): 479-488.
Newcombe R.G. (2012). Confidence intervals for proportions and related measures of effect size. Chapman and Hall/CRC Biostatistics Series.
Tango, T. (1998). Equivalence test and confidence interval for the difference in proportions for the paired-sample design. Stat Med, 17(8): 891-908.
Wenzel, D., and Zapf, A. (2013).
Difference of two dependent sensitivities and specificities: comparison of various approaches.
Biom J, 55(5): 705-718.