Hypothesis testing, type I and type II errors.
Hypothesis testing, type I and type II errors.
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DOI：
10.4103/0972-6748.62274
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发表时间：
2009-07-01
影响因子：
--
通讯作者：
Chaudhury, S
中科院分区：
文献类型：
--
作者：
Banerjee, Amitav;Chitnis, U B;Chaudhury, S
假设检验是实证研究和循证医学的重要活动。一个精心设计的假设是研究问题的一半答案。为此，既要有从广泛查阅文献中获得的有关这一主题的知识，又要有基本统计概念的工作知识。本文讨论了建立良好假设的方法和假设检验的统计概念。
Hypothesis testing is an important activity of empirical research and evidence-based medicine. A well worked up hypothesis is half the answer to the research question. For this, both knowledge of the subject derived from extensive review of the literature and working knowledge of basic statistical concepts are desirable. The present paper discusses the methods of working up a good hypothesis and statistical concepts of hypothesis testing.