单例ab型干预设计的改进两独立样本随机化检验:20年历程

Q3 Mathematics

Journal of Modern Applied Statistical Methods Pub Date : 2020-05-15 DOI:10.22237/jmasm/1556670480

J. Levin, J. Ferron, Boris S. Gafurov

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引用次数: 9

摘要

详细介绍了开发一种统计上可行的两阶段（AB）单病例两个独立样本随机测试程序的20年艰苦历程。该测试旨在比较随机分配给病例的两种不同干预措施的有效性。与早期提出的随机化试验产生的不令人满意的模拟结果相反，本试验在各种设计和效果类型配置下始终表现出可接受的I型误差控制，同时具有足够的能力来检测中等规模的干预差异效果。讨论了选定的问题、应用程序和两个样本测试的多基线扩展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Improved Two Independent-Samples Randomization Test for Single-Case AB-Type Intervention Designs: A 20-Year Journey

Detailed is a 20-year arduous journey to develop a statistically viable two-phase (AB) single-case two independent-samples randomization test procedure. The test is designed to compare the effectiveness of two different interventions that are randomly assigned to cases. In contrast to the unsatisfactory simulation results produced by an earlier proposed randomization test, the present test consistently exhibited acceptable Type I error control under various design and effect-type configurations, while at the same time possessing adequate power to detect moderately sized intervention-difference effects. Selected issues, applications, and a multiple-baseline extension of the two-sample test are discussed.

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来源期刊

Journal of Modern Applied Statistical Methods STATISTICS & PROBABILITY-

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.