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2
Pitfalls and potentials in simulation studies: Questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method.模拟研究中的陷阱和潜力:比较模拟研究中存在可疑的研究实践,这使得任何方法都有可能被错误地宣称具有优越性。
Biom J. 2024 Jan;66(1):e2200091. doi: 10.1002/bimj.202200091. Epub 2023 Mar 8.
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Large-scale benchmark study of survival prediction methods using multi-omics data.大规模基于多组学数据的生存预测方法基准研究。
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Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptions.随机试验中的协方差分析:更高的精度和有效的置信区间,无需模型假设。
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生物统计学方法研究的阶段——为新方法构建证据基础。

Phases of methodological research in biostatistics-Building the evidence base for new methods.

机构信息

Center for Medical Data Science, Institute of Clinical Biometrics, Medical University of Vienna, Vienna, Austria.

Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians University of Munich, Munich, Germany.

出版信息

Biom J. 2024 Jan;66(1):e2200222. doi: 10.1002/bimj.202200222. Epub 2023 Feb 3.

DOI:10.1002/bimj.202200222
PMID:36737675
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7615508/
Abstract

Although new biostatistical methods are published at a very high rate, many of these developments are not trustworthy enough to be adopted by the scientific community. We propose a framework to think about how a piece of methodological work contributes to the evidence base for a method. Similar to the well-known phases of clinical research in drug development, we propose to define four phases of methodological research. These four phases cover (I) proposing a new methodological idea while providing, for example, logical reasoning or proofs, (II) providing empirical evidence, first in a narrow target setting, then (III) in an extended range of settings and for various outcomes, accompanied by appropriate application examples, and (IV) investigations that establish a method as sufficiently well-understood to know when it is preferred over others and when it is not; that is, its pitfalls. We suggest basic definitions of the four phases to provoke thought and discussion rather than devising an unambiguous classification of studies into phases. Too many methodological developments finish before phase III/IV, but we give two examples with references. Our concept rebalances the emphasis to studies in phases III and IV, that is, carefully planned method comparison studies and studies that explore the empirical properties of existing methods in a wider range of problems.

摘要

尽管新的生物统计学方法以非常高的速度发表,但其中许多方法的可信度还不足以被科学界采用。我们提出了一个框架,思考一项方法学工作如何为方法的证据基础做出贡献。类似于药物开发中临床研究的著名阶段,我们建议定义方法学研究的四个阶段。这四个阶段包括:(I)提出新的方法学想法,同时提供逻辑推理或证明,(II)提供实证证据,首先在一个狭窄的目标设定中,然后(III)在更广泛的设定和各种结果中,同时提供适当的应用示例,以及(IV)研究确定一种方法是否足够被理解,以便知道何时优先于其他方法,何时不适用;也就是说,它的缺陷。我们建议对这四个阶段进行基本定义,以引发思考和讨论,而不是将研究明确地分为不同阶段。太多的方法学发展在第三/四阶段之前就结束了,但我们给出了两个带有参考文献的例子。我们的概念重新平衡了对第三和第四阶段研究的重视,即精心设计的方法比较研究和在更广泛问题范围内探索现有方法的经验特性的研究。