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Performances of some common confidence interval construction procedures for direct standardized incidence or mortality rate were compared. The asymptotic method, the method based on matching moments, the method based on gamma distribution and the method based on beta distribution were investigated through Monte Carlo simulations based on data from an epidemiologic study of cardiovascular diseas...

The use of confidence intervals has become standard in the presentation of statistical results in medical journals. Calculation of confidence limits can be straightforward using the normal approximation with an estimate of the standard error, and in particular cases exact solutions can be obtained from published tables. However, for a number of commonly used measures in epidemiology and clinica...

Systematic sampling on real line (R) when using the different probes is very attractive method within which the biomedical imaging is consulted by a surgery, etc. This study is an extension of [16], and an exact calculation method is proposed for the calculation of constant λq of confidence interval for the systematic sampling. If the smoothness constant q of measurement function (MF) is estima...

Evaluating classifiers with increased confidence can significantly impact the success of many machine learning applications. However, traditional machine learning evaluation measures fail to provide any levels of confidence in their results. In this paper, we motivate the need for confidence in classifier evaluation at a level suitable for medical studies. We draw a parallel between case-contro...