est.se: Sample size for estimating sensitivity

In samplesizeestimator: Calculate Sample Size for Various Scenarios

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)

samplesizeestimator documentation built on Oct. 11, 2023, 1:06 a.m.