Alternative Confidence Interval Methods Used in the Diagnostic Accuracy Studies

• Published in: Computational and mathematical methods in medicine Vol. 2016; no. 2016; pp. 1 - 7
• Main Authors: Erdoğan, Semra, Gülhan, Orekıcı Temel
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2016
• Subjects: Alcohols; Algorithms; Allergens; Computer Simulation; Confidence Intervals; Data Collection; Data Interpretation, Statistical; Diagnostic Tests, Routine - methods; Diagnostic Tests, Routine - standards; Humans; Lanolin; Likelihood Functions; Models, Statistical; Nickel; Potassium Dichromate; Reproducibility of Results; Sample Size; Sensitivity and Specificity
• ISSN: 1748-670X; 1748-6718
• DOI: 10.1155/2016/7141050

Background/Aim. It is necessary to decide whether the newly improved methods are better than the standard or reference test or not. To decide whether the new diagnostics test is better than the gold standard test/imperfect standard test, the differences of estimated sensitivity/specificity are calculated with the help of information obtained from samples. However, to generalize this value to the population, it should be given with the confidence intervals. The aim of this study is to evaluate the confidence interval methods developed for the differences between the two dependent sensitivity/specificity values on a clinical application. Materials and Methods. In this study, confidence interval methods like Asymptotic Intervals, Conditional Intervals, Unconditional Interval, Score Intervals, and Nonparametric Methods Based on Relative Effects Intervals are used. Besides, as clinical application, data used in diagnostics study by Dickel et al. (2010) has been taken as a sample. Results. The results belonging to the alternative confidence interval methods for Nickel Sulfate, Potassium Dichromate, and Lanolin Alcohol are given as a table. Conclusion. While preferring the confidence interval methods, the researchers have to consider whether the case to be compared is single ratio or dependent binary ratio differences, the correlation coefficient between the rates in two dependent ratios and the sample sizes.