Sage Statisticians in Social Sciences: Impact of Rubin’s Work

IF 1.8 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES Journal of the Indian Institute of Science Pub Date : 2022-10-11 DOI:10.1007/s41745-022-00329-6
Kazuo Shigemasu
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引用次数: 1

Abstract

Contemporary social scientists have cast serious doubts over traditional statistical testing procedures and questioned the reproducibility of the findings. The Bayesian approach provides sound statistical tools to draw inferences about unknown parameters and potential outcomes in a methodical way. This paper reviews D. B. Rubin’s work from the orthodox Bayesian viewpoint and discusses how his brilliant ideas and suggestions should be applied when social scientists deal with real data. The discussion focuses on making inferences about causal relationships and handling missing data. It is argued that social scientists who are confident about both the Bayesian coherent system and the necessitated effective software for numerical solutions can build relevant statistical models and derive relevant information from the Bayesian analysis of real data. This paper specifically explains how to deal with the data, using examples from situations that social scientists should often encounter.

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社会科学中的圣人统计学家:鲁宾工作的影响
当代社会科学家对传统的统计测试程序提出了严重的质疑,并质疑研究结果的可重复性。贝叶斯方法提供了可靠的统计工具,以系统的方式对未知参数和潜在结果进行推断。本文从正统的贝叶斯观点回顾了鲁宾的工作,并讨论了在社会科学家处理真实数据时应如何应用他的杰出思想和建议。讨论的重点是对因果关系进行推断和处理缺失的数据。本文认为,对贝叶斯连贯系统和数值解所需的有效软件都有信心的社会科学家可以建立相关的统计模型,并从对真实数据的贝叶斯分析中获得相关信息。本文特别解释了如何处理这些数据,使用了社会科学家经常遇到的情况的例子。
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 the Indian Institute of Science
Journal of the Indian Institute of Science MULTIDISCIPLINARY SCIENCES-
CiteScore
4.30
自引率
0.00%
发文量
75
期刊介绍: Started in 1914 as the second scientific journal to be published from India, the Journal of the Indian Institute of Science became a multidisciplinary reviews journal covering all disciplines of science, engineering and technology in 2007. Since then each issue is devoted to a specific topic of contemporary research interest and guest-edited by eminent researchers. Authors selected by the Guest Editor(s) and/or the Editorial Board are invited to submit their review articles; each issue is expected to serve as a state-of-the-art review of a topic from multiple viewpoints.
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