Sample Size Determination Based on the Interval Width of Disease Prevalence under Double-Sampling Design without Gold Standard
Under the double-sampling design without gold standard,this paper investigates the deter-mination of sample sizes for disease prevalence studies from the perspective of the confidence interval.Sample size determination methods are developed to control the width of a confidence interval with a pre-specified confidence level.We provide sample size determination methods based on Wald confidence interval(CI)and the inverse hyperbolic tangent transformation CI of the disease prevalence under the conditional independent model and dependent model,and under the conditional independent model,the sample size estimator based on a Bayesian credible interval is also developed.Simulation studies have been conducted to demonstrate the performance of various CIs with the proposed sample sizes.A real-data example is used to illustrate the applicability of the proposed methods.
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