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生物医学科学中的逻辑实验设计与执行

Logical Experimental Design and Execution in the Biomedical Sciences.

作者信息

Holder Daniel J, Marino Michael J

机构信息

Biometrics Research, Merck Research Laboratories, West Point, Pennsylvania.

Neuroscience, Merck Research Laboratories, West Point, Pennsylvania.

出版信息

Curr Protoc Pharmacol. 2017 Mar 17;76:A.3G.1-A.3G.26. doi: 10.1002/cpph.20.

DOI:10.1002/cpph.20
PMID:28306153
Abstract

Lack of reproducibility has been highlighted as a significant problem in biomedical research. The present unit is devoted to describing ways to help ensure that research findings can be replicated by others, with a focus on the design and execution of laboratory experiments. Essential components for this include clearly defining the question being asked, using available information or information from pilot studies to aid in the design the experiment, and choosing manipulations under a logical framework based on Mill's "methods of knowing" to build confidence in putative causal links. Final experimental design requires systematic attention to detail, including the choice of controls, sample selection, blinding to avoid bias, and the use of power analysis to determine the sample size. Execution of the experiment is done with care to ensure that the independent variables are controlled and the measurements of the dependent variables are accurate. While there are always differences among laboratories with respect to technical expertise, equipment, and suppliers, execution of the steps itemized in this unit will ensure well-designed and well-executed experiments to answer any question in biomedical research. © 2017 by John Wiley & Sons, Inc.

摘要

缺乏可重复性已被视为生物医学研究中的一个重大问题。本单元致力于描述有助于确保他人能够复制研究结果的方法,重点是实验室实验的设计和执行。为此所需的基本要素包括明确界定所提出的问题,利用现有信息或前期研究的信息辅助实验设计,并在基于密尔“认知方法”的逻辑框架下选择操作,以增强对假定因果关系的信心。最终的实验设计需要系统地关注细节,包括对照的选择、样本的选取、为避免偏差而进行的盲法处理,以及使用功效分析来确定样本量。实验的执行要谨慎,以确保自变量得到控制,因变量的测量准确无误。虽然不同实验室在技术专长、设备和供应商方面总会存在差异,但按照本单元所列步骤执行将确保设计良好且执行完善的实验,以回答生物医学研究中的任何问题。© 2017约翰威立国际出版公司

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