我们应该在 n-of-1 数据分析上妥协吗?

IF 1.7 Q3 PSYCHIATRY
Prathiba Batley
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引用次数: 0

摘要

尽管 "n-of-1 "设计越来越受欢迎,但其采用的数据分析可能并不那么完整和强大。本文借鉴了教育学和心理学研究的现有进展,介绍了一些在 n-of-1 研究中使用严格数据分析技术的技巧和参考资料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Should we compromise on n-of-1 data analyses?
Despite their increasing popularity, n-of-1 designs employ data analyses that might not be as complete and powerful as they could be. Borrowing from existing advances in educational and psychological research, this article presents a few techniques and references for rigorous data analytic techniques in n-of-1 research.
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来源期刊
BJPsych Advances
BJPsych Advances PSYCHIATRY-
CiteScore
2.50
自引率
7.70%
发文量
75
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