An Elaboration on Sample Size Planning for Performing a One-Sample Sensitivity and Specificity Analysis by Basing on Calculations on a Specified 95% Confidence Interval Width

Sample size calculation based on a specified width of 95% confidence interval will offer researchers the freedom to set the level of accuracy of the statistics that they aim to achieve for a particular study. This paper provides a description of the general conceptual context for performing sensitivity and specificity analysis. Subsequently, sample size tables for sensitivity and specificity analysis based on a specified 95% confidence interval width is then provided. Such recommendations for sample size planning are provided based on two different scenarios: one for a diagnostic purpose and another for a screening purpose. Further discussion on all the other relevant considerations for the determination of a minimum sample size requirement and on how to draft the sample size statement for performing sensitivity and specificity analysis are also provided.

Automated summary

Sample size calculation based on a specified width of 95% confidence interval allows researchers to determine the level of statistical accuracy they want to achieve for a study. This paper provides a conceptual background for sensitivity and specificity analysis and presents sample size tables based on a 95% confidence interval width. The paper also offers recommendations for sample size planning in diagnostic and screening scenarios, as well as discusses other relevant considerations in determining the minimum sample size and drafting the sample size statement for sensitivity and specificity analysis.