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实验毒理学:统计学、实验设计与重复问题

Experimental toxicology: Issues of statistics, experimental design, and replication.

作者信息

Briner Wayne, Kirwan Jeral

机构信息

Ashford University, College of Health, Human Services, and Science, 8620 Spectrum Center Blvd, San Diego, CA 92123, United States.

出版信息

Neurotoxicology. 2017 Jan;58:137-142. doi: 10.1016/j.neuro.2016.11.002. Epub 2016 Dec 10.

Abstract

The difficulty of replicating experiments has drawn considerable attention. Issues with replication occur for a variety of reasons ranging from experimental design to laboratory errors to inappropriate statistical analysis. Here we review a variety of guidelines for statistical analysis, design, and execution of experiments in toxicology. In general, replication can be improved by using hypothesis driven experiments with adequate sample sizes, randomization, and blind data collection techniques.

摘要

重复实验的困难已引起了相当多的关注。重复实验出现问题的原因多种多样,从实验设计到实验室误差,再到不恰当的统计分析。在此,我们回顾了毒理学实验统计分析、设计和实施的各种指南。一般来说,通过使用具有足够样本量、随机化和盲法数据收集技术的假设驱动实验,可以提高重复率。

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