artcat：有序分类结果的样本量计算

IF 3.2 2区数学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS

Stata Journal Pub Date : 2023-03-01 Epub Date: 2023-04-05 DOI:10.1177/1536867X231161934

Ian R White, Ella Marley-Zagar, Tim P Morris, Mahesh K B Parmar, Patrick Royston, Abdel G Babiker

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引用次数: 0

摘要

我们介绍了一个新命令 artcat，它可以计算随机对照试验或类似试验的样本量或功率，试验结果为有序分类结果，分析采用比例-胜数模型。 artcat 实现了怀特海（Whitehead，1993，Statistics in Medicine 12: 2257-2271）的方法。我们还提出并实施了一种新方法：1）允许用户指定不服从比例-胜数假设的治疗效果；2）为大治疗效果提供更高的准确性；3）允许进行非劣效试验。我们对命令进行了说明，并探讨了有序分类结果相对于二元结果在不同情况下的价值。我们通过模拟显示，这些方法表现良好，而且新方法比怀特海方法更准确。

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artcat: Sample-size calculation for an ordered categorical outcome.

We describe a new command, artcat, that calculates sample size or power for a randomized controlled trial or similar experiment with an ordered categorical outcome, where analysis is by the proportional-odds model. artcat implements the method of Whitehead (1993, Statistics in Medicine 12: 2257-2271). We also propose and implement a new method that 1) allows the user to specify a treatment effect that does not obey the proportional-odds assumption, 2) offers greater accuracy for large treatment effects, and 3) allows for noninferiority trials. We illustrate the command and explore the value of an ordered categorical outcome over a binary outcome in various settings. We show by simulation that the methods perform well and that the new method is more accurate than Whitehead's method.

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来源期刊

Stata Journal 数学-统计学与概率论

CiteScore

7.80

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata''s language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.