PASSED: Calculate Power and Sample Size for Two Sample Tests

R J. Pub Date : 2021-01-01 DOI:10.32614/rj-2021-094
Jinpu Li, R. Knigge, Kaiyi Chen, E. Leary
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引用次数: 3

Abstract

Power and sample size estimation are critical aspects in study design to demonstrate minimized risk for subjects and to justify the allocation of time, money, and other resources. Researchers often work with response variables which take the form of various distributions. Here, we present an R package, PASSED, that allows flexibility with seven common distributions and multiple options to accommodate sample size or power analysis. The relevant statistical theory, calculations, and examples for each distribution using PASSED are discussed in this paper.
通过:计算两个样本测试的功率和样本量
功率和样本量估计是研究设计中的关键方面,以证明受试者的风险最小化,并证明时间、金钱和其他资源的分配是合理的。研究人员经常使用各种分布形式的响应变量。在这里,我们介绍了一个R包PASSED,它允许七个常见分布和多个选项的灵活性,以适应样本大小或功率分析。本文讨论了使用PASSED进行各种分布的相关统计理论、计算和实例。
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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