… The HB sample-size algorithm 10, 27 generates a table of different combinations of … and
cases that yield the desired power for random-all, random-cases, and random-readers analyses. …

… In this article, an empirical study, namely, using Chebyshev’s inequality in combination with
simple random sampling, is applied to determine the sample size for biometric applications. …

… We assume these random variables are from normal distributions, as follows: … curve studies:
hypothesis testing and sample size estimation using an analysis of variance approach with …

… analyses based on different predictive algorithms and methods of validation. We have analyzed
the effect of sample size … the uncertainty introduced by randomly sampling the data from …

… statistical methods for fitting ROC curves, comparing them, and determining sample size for
studies using ROC curves. We … Fixed- or random-effects models.—The MRMC study has two …

… analysis of ROC data is planned, then sample size … Bayesian approach to sample size
analysis in ROC studies using … ) test scores from a random sample of individuals within the D and …

… under an ROC curve can be estimated by sampling within the … sample size required to obtain
a given degree of precision.2 … and not as a random sample from a larger population of cases…

… Chemistry with an appropriate ROC analysis. Martinez et al. (8) … to systematic bias and not
to random variability). One of the … We discuss sample size according to the phase of the study …

… since the expected value of a random variable is the area under its … analysis of the empirical
distributions of the two samples. … for AUC analysis in presence of sample sizes lower than 20 …

… sample size that are free of these two correlation parameters. The lower bound is the smallest
sample size that … The area under the ROC curve (AUC) is the probability that a randomly …