首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Simulation program for power and sample size determination in logistic analysis of single nucleotide polymorphisms when the response variable is subject to misclassification.
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Simulation program for power and sample size determination in logistic analysis of single nucleotide polymorphisms when the response variable is subject to misclassification.

机译:当响应变量易分类时,用于对单核苷酸多态性进行逻辑分析的功效和样本量确定的仿真程序。

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摘要

The main objective of this study was to develop a simulation program to determine the sample size for a clinical study to confirm a genetic-disease association observed in a retrospective exploratory study. The effect of misclassification of a binary response variable on the power is also investigated. A general expression for the magnitude of the decrease in statistical power due to misclassification is obtained based on the Pitman asymptotic relative efficiency. The simulation program presents an estimate of the exact power when misclassification exists. Running the program several times under different settings of parameters, it revealed that the effect of even low misclassification rates is serious. Response misclassification should be taken into consideration when determining the sample size. The program can be used on the Internet.
机译:这项研究的主要目的是开发一个模拟程序,以确定临床研究的样本量,以确认在回顾性探索性研究中观察到的遗传-疾病关联。还研究了二进制响应变量的错误分类对功率的影响。基于Pitman渐近相对效率,获得了由于分类错误而导致的统计功效下降幅度的一般表达式。当存在错误分类时,仿真程序将提供精确功率的估计。在不同的参数设置下多次运行该程序,结果表明,即使误分类率较低,其影响也很严重。确定样本量时,应考虑到反应错误分类。该程序可以在Internet上使用。

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