Towards neutral comparison studies in methodological biostatistics research
生物统计学方法研究中的中立比较研究
基本信息
- 批准号:497316619
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:
- 资助国家:德国
- 起止时间:
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Statisticians are often keen to analyze the statistical aspects of the so-called “replication crisis”. They condemn fishing expeditions and publication bias across empirical scientific fields applying statistical methods. But what about good practice issues in their own - methodological - research, i.e. research considering statistical methods as research objects? When developing and evaluating new statistical methods and data analysis tools, do statisticians adhere to the good practice principles they promote in fields which apply statistics? I argue that statisticians should make substantial efforts to address what may be called the replication crisis in the context of methodological research in statistics and data science. The first project aim is to increase awareness of issues related to this replication crisis with a focus on biases affecting many methodological studies. This will be achieved in particular through well-designed empirical studies that also help to identify strategies for improvement. In this context, we argue that neutral comparison studies investigating (bio)statistical methods with thoughtfully elaborated design, strategies to avoid various types of bias when evaluating methods and rigorous unbiased reporting play an important role for increasing the reliability of methodological literature and allowing more evidence-based and unbiased choice of statistical/data analysis methods. The second – major - aim of the project is to develop, demonstrate and evaluate potential strategies to design, conduct, interpret and report comparison studies as “neutrally” as possible, whereby the precise definition of the concept of neutrality will also be part of the project. The project is structured in three interrelated subprojects dealing with the neutrality of comparison studies: “design of comparison studies and biases”, “reporting of neutral comparison studies”, and “handling of the flexibility of comparison studies”. Its originality is that it adopts a metascientific approach to address methodological issues in statistics and related fields, where it is unusual to do so. Meta-research is not yet perceived by the methodological scientific community as a full-fledged research area (in contrast, inspiring developments have been observed in other fields such as psychology and health research in the two last decades). The project thus also aims at establishing metascience in the context of methodological research on statistics and data science, which should, in the long run, lead to increased research quality not only in this field but also across all fields that apply statistical/data analysis methods.
统计学家常常热衷于分析所谓的“复制危机”的统计方面。他们谴责使用统计方法进行的捕捞探险和跨经验科学领域的出版偏见。但是,在他们自己的方法论研究中,即将统计方法作为研究对象的研究中,良好做法问题又如何呢?在开发和评价新的统计方法和数据分析工具时,统计人员是否遵守他们在应用统计的领域所提倡的良好做法原则?我认为,统计学家应该在统计和数据科学的方法论研究背景下作出实质性努力,解决可能被称为复制危机的问题。第一个项目的目的是提高对与这一复制危机有关的问题的认识,重点关注影响许多方法学研究的偏见。这将特别通过精心设计的经验性研究来实现,这些研究也有助于确定改进战略。在这种背景下,我们认为,研究(生物)统计方法的中性比较研究经过深思熟虑的设计、避免评估方法时各种类型偏见的策略以及严格的无偏见报告,对于增加方法学文献的可靠性和允许更多以证据为基础的、公正的统计/数据分析方法的选择具有重要作用。该项目的第二个主要目标是制定、展示和评价可能的战略,以尽可能“中立”的方式设计、进行、解释和报告比较研究,因此,中立概念的准确定义也将是该项目的一部分。该项目由涉及比较研究的中立性的三个相互关联的分项目构成:“设计比较研究和偏见”、“报告中性比较研究”和“处理比较研究的灵活性”。它的独创性在于,它采用了一种元科学的方法来解决统计和相关领域中的方法论问题,在这些领域这样做是不寻常的。元研究还没有被方法论科学界视为一个成熟的研究领域(相比之下,在过去20年里,在心理学和健康研究等其他领域已经观察到了鼓舞人心的发展)。因此,该项目还旨在在统计和数据科学方法研究的背景下建立元科学,从长远来看,这不仅会提高该领域的研究质量,而且会提高应用统计/数据分析方法的所有领域的研究质量。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professorin Dr. Anne-Laure Boulesteix其他文献
Professorin Dr. Anne-Laure Boulesteix的其他文献
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{{ truncateString('Professorin Dr. Anne-Laure Boulesteix', 18)}}的其他基金
Datenaufbereitung bei der Validierung von biomedizinischen Prädiktionsmodellen
生物医学预测模型验证中的数据准备
- 批准号:
192522475 - 财政年份:2011
- 资助金额:
-- - 项目类别:
Research Grants
Increasing clinical usefulness of gene signature prediction rules through simplification and validation
通过简化和验证提高基因特征预测规则的临床实用性
- 批准号:
208375936 - 财政年份:2011
- 资助金额:
-- - 项目类别:
Research Grants
Resampling-based comparison studies of prediction methods with emphasis on high-dimensional biological data
基于重采样的预测方法比较研究,重点关注高维生物数据
- 批准号:
158005760 - 财政年份:2009
- 资助金额:
-- - 项目类别:
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Empirical studies on the researcher degrees of freedom in biomedical data analysis
生物医学数据分析中研究者自由度的实证研究
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424874387 - 财政年份:
- 资助金额:
-- - 项目类别:
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