使用来自随机或观察研究的剔除数据进行真实世界成本效益分析的净效益回归教程。

IF 3.1 3区医学 Q2 HEALTH CARE SCIENCES & SERVICES

Medical Decision Making Pub Date : 2024-04-01 Epub Date: 2024-02-12 DOI:10.1177/0272989X241230071

Shuai Chen, Heejung Bang, Jeffrey S Hoch

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引用次数: 0

摘要

亮点：我们通过提供分步指导和应用于数据集的代码，说明了使用可能有删减的演示数据进行净效益回归进行成本效益分析的步骤。我们通过说明处理删减的天真方法如何会导致有偏差的成本效益结果，证明了这些新方法的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Tutorial on Net Benefit Regression for Real-World Cost-Effectiveness Analysis Using Censored Data from Randomized or Observational Studies.

Highlights: 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.

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来源期刊

Medical Decision Making 医学-卫生保健

CiteScore

6.50

自引率

5.60%

发文量

146

审稿时长

6-12 weeks

期刊介绍： Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.