SIMULTANEOUS TESTS OF MANY HYPOTHESES IN EXPLORATORY RESEARCH
SIMULTANEOUS TESTS OF MANY HYPOTHESES IN EXPLORATORY RESEARCH
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DOI：
10.1097/00005053-198201000-00002
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发表时间：
1982-01-01
影响因子：
1.9
通讯作者：
ANDREASEN, NC
中科院分区：
文献类型：
--
作者：
GROVE, WM;ANDREASEN, NC
许多传统的数据分析统计方法假设一个相对简单的情况下，调查人员正在测试一个单一的假设。另一方面，大多数精神病学研究本质上是探索性的，涉及测试许多假设。探索性研究提出了数据分析中的特殊问题，在本概述中进行了讨论。特殊的统计方法，可用于减少错误的风险，如Bonferroni不等式，进行了说明。选择适合特定调查的置信水平，而不是任意使用。05水平，也进行了讨论。
Many traditional statistical approaches to data analysis assume a relatively simple situation in which the investigator is testing a single hypothesis. Most research in psychiatry, on the other hand, is exploratory in nature and involves testing many hypotheses. Exploratory research presents special problems in data analysis, which are discussed in this overview. Special statistical approaches that are available to reduce error risk, such as the Bonferroni inequality, are described. The importance of selecting confidence levels appropriate to a particular investigation, rather than arbitrary use of the. 05 level, is also discussed.