A robust likelihood approach to inference for paired multiple binary endpoints data

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-02-27 DOI:10.1080/02664763.2024.2321904

Tsung-Shan Tsou, Wei-Cheng Hsiao

引用次数: 0

Abstract

We introduce a robust likelihood approach to inference for paired multiple binary endpoints data. One can easily implement the methodology without dealing with the model that incorporates a large n...

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推断成对多二进制端点数据的稳健似然法

我们介绍了一种针对成对多二进制端点数据的稳健似然推断方法。我们可以很容易地实施该方法，而无需处理包含大量二元端点数据的模型。

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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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.