EXPLORATORY STATISTICAL-METHODS, WITH APPLICATIONS TO PSYCHIATRIC RESEARCH
EXPLORATORY STATISTICAL-METHODS, WITH APPLICATIONS TO PSYCHIATRIC RESEARCH
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DOI：
10.1016/0306-4530(92)90001-n
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发表时间：
1992-10-01
影响因子：
3.7
通讯作者：
JUNKER, BW
中科院分区：
文献类型：
--
作者：
GREENHOUSE, JB;JUNKER, BW
本文介绍了描述和总结研究结果的统计方法，并介绍了指导精神病学研究人员评估和解释临床研究的统计原理。我们讨论相对容易使用和非正式的方法来描述和比较数据。我们的目标是发展研究变量之间关系的方法，了解一个变量对另一个变量的影响。一旦我们观察到变量之间的明显关系，要解决的一个重要问题是，这种观察到的关系是否具有因果关系，即一个变量的变化会导致另一个变量的变化。我们讨论并说明了与评估变量之间的关联性质有关的原则。在整个文章中，原则和方法将通过基于主要来自精神病学研究文献的数据集的示例和案例研究来说明。
This article introduces statistical methods for describing and summarizing the results of studies and introduces statistical principles that will guide dhe psychiatric researcher in the evaluation and interpretation of clinical research. We discuss relatively easy-to-use and informal methods for describing and comparing data. Our aim is to develop methods for investigating relationships among variables, to kam about the effect of one variable upon another.Once we have observed an apparent relationship between variables, an important question to be addressed is whether or not this observed relationship is causal in the sense that a change in one variable causes a changes in the other. We discuss and illustrate principles related to the evaluation of the nature of die association among variables. Throughout the article, principles and methods will be illustrated by examples and case studies based on data sets primarily from the psychiatric research literature.