贝叶斯样本量确定法检测多站点复制研究中的异质性

IF 1.2 4区 数学 Q2 STATISTICS & PROBABILITY
Test Pub Date : 2024-01-23 DOI:10.1007/s11749-023-00916-4
Konstantinos Bourazas, Guido Consonni, Laura Deldossi
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引用次数: 0

摘要

持续的 "复制危机 "使从生命科学到社会科学等各学科的科学发现受到质疑。复制研究旨在调查已发表研究结果的有效性,并试图评估后者在统计学上是否与复制的结果一致。虽然大多数复制项目都是以单项实验为基础,但在不同地点同时对同一实验进行多项独立复制的情况也越来越多。对于这些类型的项目,我们要处理的问题是测试不同地点之间的异质性;具体来说,我们的重点是确定样本量,以便在收集到实验数据后提供令人信服的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Bayesian sample size determination for detecting heterogeneity in multi-site replication studies

Bayesian sample size determination for detecting heterogeneity in multi-site replication studies

An ongoing “replication crisis” calls into question scientific discoveries across a variety of disciplines ranging from life to social sciences. Replication studies aim to investigate the validity of findings in published research, and try to assess whether the latter are statistically consistent with those in the replications. While the majority of replication projects are based on a single experiment, multiple independent replications of the same experiment conducted simultaneously at different sites are becoming more frequent. In connection with these types of projects, we deal with testing heterogeneity among sites; specifically, we focus on sample size determination suitable to deliver compelling evidence once the experimental data are gathered.

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来源期刊
Test
Test 数学-统计学与概率论
CiteScore
2.20
自引率
7.70%
发文量
41
审稿时长
>12 weeks
期刊介绍: TEST is an international journal of Statistics and Probability, sponsored by the Spanish Society of Statistics and Operations Research. English is the official language of the journal. The emphasis of TEST is placed on papers containing original theoretical contributions of direct or potential value in applications. In this respect, the methodological contents are considered to be crucial for the papers published in TEST, but the practical implications of the methodological aspects are also relevant. Original sound manuscripts on either well-established or emerging areas in the scope of the journal are welcome. One volume is published annually in four issues. In addition to the regular contributions, each issue of TEST contains an invited paper from a world-wide recognized outstanding statistician on an up-to-date challenging topic, including discussions.
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