Good Practice Guidelines for the use of Statistical Regression Models in Economic Evaluations
Good Practice Guidelines for the use of Statistical Regression Models in Economic Evaluations
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DOI：
10.1007/s40273-013-0069-y
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发表时间：
2013-08-01
影响因子：
4.4
通讯作者：
Campbell, Mike
中科院分区：
文献类型：
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作者：
Kearns, Ben;Ara, Roberta;Campbell, Mike
用于评估干预措施成本效益的决策分析模型是经济评估中使用的关键证据来源。DAM中使用的参数估计值通常基于回归分析的结果，但几乎没有与这些相关的指导。这项研究有两个目的。第一个是确定在经济评价中使用回归模型的频率、它们提供的参数以及为描述和支持分析而报告的信息量。第二个目标是在审查的基础上为改进这一领域的做法提供指导。该审查集中在提交给英国国家健康和临床卓越研究所（NICE）的经济评估的随机样本上，作为其技术评估过程的一部分。根据这些调查结果，起草了良好做法建议，以及这一领域报告标准评论清单。根据这一审查的结果，统计回归模型在用于支持经济评价的指定目的地评估机制中得到广泛使用，但对基本信息的报告，如所用样本大小和不确定性的衡量标准，却很有限。就如何改进报告标准以更好地满足决策者的需要提出了建议。这些建议总结在一份清单中，可供进行回归分析和批评回归分析的人员使用，以确定在DAM中使用回归分析结果时应报告的内容。
Decision-analytic models (DAMs) used to evaluate the cost effectiveness of interventions are pivotal sources of evidence used in economic evaluations. Parameter estimates used in the DAMs are often based on the results of a regression analysis, but there is little guidance relating to these. This study had two objectives. The first was to identify the frequency of use of regression models in economic evaluations, the parameters they inform, and the amount of information reported to describe and support the analyses. The second objective was to provide guidance to improve practice in this area, based on the review. The review concentrated on a random sample of economic evaluations submitted to the UK National Institute for Health and Clinical Excellence (NICE) as part of its technology appraisal process. Based on these findings, recommendations for good practice were drafted, together with a checklist for critiquing reporting standards in this area. Based on the results of this review, statistical regression models are in widespread use in DAMs used to support economic evaluations, yet reporting of basic information, such as the sample size used and measures of uncertainty, is limited. Recommendations were formed about how reporting standards could be improved to better meet the needs of decision makers. These recommendations are summarised in a checklist, which may be used by both those conducting regression analyses and those critiquing them, to identify what should be reported when using the results of a regression analysis within a DAM.