Gall Thomas, Ioannidis John P A, Maniadis Zacharias
Economics Department, School of Social Sciences, University of Southampton, Southampton, United Kingdom.
Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America.
PLoS Biol. 2017 Apr 26;15(4):e2001846. doi: 10.1371/journal.pbio.2001846. eCollection 2017 Apr.
The issue of nonreplicable evidence has attracted considerable attention across biomedical and other sciences. This concern is accompanied by an increasing interest in reforming research incentives and practices. How to optimally perform these reforms is a scientific problem in itself, and economics has several scientific methods that can help evaluate research reforms. Here, we review these methods and show their potential. Prominent among them are mathematical modeling and laboratory experiments that constitute affordable ways to approximate the effects of policies with wide-ranging implications.
不可复制证据的问题已在生物医学和其他科学领域引起了相当大的关注。这种担忧伴随着人们对改革研究激励措施和实践的兴趣日益浓厚。如何以最佳方式进行这些改革本身就是一个科学问题,而经济学有几种科学方法可以帮助评估研究改革。在这里,我们回顾这些方法并展示它们的潜力。其中突出的是数学建模和实验室实验,它们是估算具有广泛影响的政策效果的经济可行方法。