基于随机或观察性研究中截尾数据的真实世界成本效果分析中的净收益回归教程
A Tutorial on Net Benefit Regression for Real-World Cost-Effectiveness Analysis Using Censored Data from Randomized or Observational Studies.
机构信息
Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA, USA.
Center for Healthcare Policy and Research, University of California, Davis, Sacramento, CA, USA.
出版信息
Med Decis Making. 2024 Apr;44(3):239-251. doi: 10.1177/0272989X241230071. Epub 2024 Feb 12.
We illustrate the steps involved in carrying out cost-effectiveness analysis using net benefit regressions with possibly censored demo data by providing step-by-step guidance and code applied to a data set.We demonstrate the importance of these new methods by illustrating how naïve methods for handling censoring can lead to biased cost-effectiveness results.
我们通过提供分步指导和应用于数据集的代码，展示了如何使用可能存在删失的演示数据进行净效益回归来进行成本效益分析的步骤，从而说明了这些新方法的重要性。我们还说明了如何处理删失的天真方法会导致有偏的成本效益结果，从而展示了这些新方法的重要性。
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