Should we compromise on n-of-1 data analyses?

被引：0
作者：
Batley, Prathiba [1 ]
机构：
[1] Daiichi Sankyo, Stat Innovat, Louisville, KY 40210 USA
来源：
BJPSYCH ADVANCES | 2024年 / 30卷 / 05期
关键词：
n-of-1; designs; single-case experimental designs; data analysis; statistical methodology; Bayesian; DIFFERENCE EFFECT SIZE; TIME;
D O I：
10.1192/bja.2023.65
中图分类号：
R749 [精神病学];
学科分类号：
100205 ;
摘要：
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.
引用
收藏
页码：322 / 325
页数：4
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