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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 >A C++ program to calculate sample sizes for cost-effectiveness trials in a Bayesian framework
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A C++ program to calculate sample sizes for cost-effectiveness trials in a Bayesian framework

机译：一个C ++程序，用于计算贝叶斯框架中的成本效益试验的样本量

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摘要

Cost-Effectiveness Analysis (CEA) has become an increasingly important component of clinical trials. However, formal sample size calculations for such studies are not common. One of the reasons for this might be due to the absence of readily available computer software to perform complex calculations, particularly in a Bayesian setting. In this paper, a C++ program (using NAG library functions/subroutines) is presented to estimate the sample sizes for cost-effectiveness clinical trials in a Bayesian framework. The program can equally be used to calculate sample sizes for efficacy trials. The Bayesian approach to sample size calculation is based on that of O'Hagan and Stevens (A. O'Hagan, J.W. Stevens, Bayesian assessment of sample size for clinical trials of cost-effectiveness, Medical Decision Making 21 (2001) 219-230). With this program, the user can calculate sample sizes for various thresholds of willingness to pay and under various assumptions of the correlations between cost and effects. Under some prior, the program produces frequentist sample size as well. The program runs under windows environment and running time is very short.
机译：成本效益分析（CEA）已成为临床试验中越来越重要的组成部分。但是，用于此类研究的正式样本量计算并不常见。原因之一可能是由于缺乏现成的计算机软件来执行复杂的计算，尤其是在贝叶斯环境下。在本文中，提出了一个C ++程序（使用NAG库函数/子例程）来估计在贝叶斯框架下进行成本效益临床试验的样本量。该程序同样可以用于计算功效试验的样本量。贝叶斯的样本量计算方法基于O'Hagan和Stevens的方法（A. O'Hagan，JW Stevens，贝叶斯评估样本量以进行成本效益的临床试验，《医疗决策》 21（2001）219-230） ）。使用此程序，用户可以计算各种支付意愿阈值以及在成本与效果之间的相关性的各种假设下的样本量。在某些先验条件下，该程序也会产生常客样本量。该程序在Windows环境下运行，运行时间非常短。

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