How to test hypotheses if you must
How to test hypotheses if you must
复制标题
DOI：
10.1002/pst.1667
复制
发表时间：
2015-03-01
影响因子：
1.5
通讯作者：
Grieve, Andrew P.
中科院分区：
文献类型：
--
作者：
Grieve, Andrew P.
药品开发并不是唯一一家受到政府监管的工业科学企业。在一些生态和环境科学领域，统计方法的应用也受到条例的监管。在过去的20年里，生态学家和环境科学家一直反对不加思考地应用零假设显著性检验。最近，加拿大生态学家提出了一种新的显著性检验方法，考虑了第一类和第二类错误的成本。在这篇文章中，我们调查了这一点对药物开发中测试的影响，并证明了它的采用直接导致了似然原理和贝叶斯方法。版权所有(C)2015 John Wiley&Sons，Ltd.
Drug development is not the only industrial-scientific enterprise subject to government regulations. In some fields of ecology and environmental sciences, the application of statistical methods is also regulated by ordinance. Over the past 20years, ecologists and environmental scientists have argued against an unthinking application of null hypothesis significance tests. More recently, Canadian ecologists have suggested a new approach to significance testing, taking account of the costs of both type I and type II errors. In this paper, we investigate the implications of this for testing in drug development and demonstrate that its adoption leads directly to the likelihood principle and Bayesian approaches. Copyright (c) 2015 John Wiley & Sons, Ltd.