证据综合中的宽泛研究问题与狭窄研究问题:与估算值平行(并呼吁估算值)。

IF 5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Antonio Remiro-Azócar, Anders Gorst-Rasmussen
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引用次数: 0

摘要

在网络荟萃分析(NMA)的实践中,研究问题已经从宽泛过渡到更加具体。在最近引入估算子框架后,这种趋同也在个体注册试验中出现,并对临床试验的设计、数据收集策略、分析和解释产生了影响。估计值语言对 NMA 有很大帮助,特别是考虑到卫生技术评估中对治疗方法和目标人群的 "狭隘 "视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Broad versus narrow research questions in evidence synthesis: A parallel to (and plea for) estimands

There has been a transition from broad to more specific research questions in the practice of network meta-analysis (NMA). Such convergence is also taking place in the context of individual registrational trials, following the recent introduction of the estimand framework, which is impacting the design, data collection strategy, analysis and interpretation of clinical trials. The language of estimands has much to offer to NMA, particularly given the “narrow” perspective of treatments and target populations taken in health technology assessment.

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来源期刊
Research Synthesis Methods
Research Synthesis Methods MATHEMATICAL & COMPUTATIONAL BIOLOGYMULTID-MULTIDISCIPLINARY SCIENCES
CiteScore
16.90
自引率
3.10%
发文量
75
期刊介绍: Research Synthesis Methods is a reputable, peer-reviewed journal that focuses on the development and dissemination of methods for conducting systematic research synthesis. Our aim is to advance the knowledge and application of research synthesis methods across various disciplines. Our journal provides a platform for the exchange of ideas and knowledge related to designing, conducting, analyzing, interpreting, reporting, and applying research synthesis. While research synthesis is commonly practiced in the health and social sciences, our journal also welcomes contributions from other fields to enrich the methodologies employed in research synthesis across scientific disciplines. By bridging different disciplines, we aim to foster collaboration and cross-fertilization of ideas, ultimately enhancing the quality and effectiveness of research synthesis methods. Whether you are a researcher, practitioner, or stakeholder involved in research synthesis, our journal strives to offer valuable insights and practical guidance for your work.
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