est.se {samplesizeestimator} | R Documentation |
Sample size for estimating sensitivity
Description
In diagnostic studies, the test yields a binary outcome and accuracy is evaluated by sensitivity and specificity. This function calculates sample size for estimating sensitivity when the diagnostic test yields a binary outcome.
Usage
est.se(p, se, prec, alp)
Arguments
p |
Prevalence of disease |
se |
anticipated sensitivity of the test |
prec |
Precision required on either side of the true sensitivity |
alp |
level of significance or accepted level of probability of type I error |
Value
a list of total sample size based on sensitivity along with reporting
Author(s)
R. Amala, Scientist-C, ICMR-VCRC, Puducherry & G. Kumarapandiyan, Asst. Prof., Madras Christian College, Chennai
References
Hajian-Tilaki, K. (2014). Sample size estimation in diagnostic test studies of biomedical informatics. Journal of biomedical informatics, 48, 193-204.
Examples
est.se(p = 0.10, se = 0.99, prec = 0.03, alp = 0.05)
[Package samplesizeestimator version 1.0.0 Index]