统计在卫生信息学中的真正价值。介绍贝叶斯方法

Proceedings of the 26th Euromicro Conference. EUROMICRO 2000. Informatics: Inventing the Future Pub Date : 2000-09-05 DOI:10.1109/EURMIC.2000.874513

Philip Young

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引用次数: 1

摘要

本文旨在介绍统计推断的贝叶斯范式，并以非常广泛的方式说明这些技术可以应用于医学信息学的一些方式。假设读者对统计推断的“经典”方法有一些基本的熟悉，并且在整篇文章中，贝叶斯技术与它们的频率选择进行了对比。

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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The real value of statistics in health informatics. An introduction to Bayesian methods

The article aims to introduce the Bayesian paradigm of statistical inference and to illustrate, in a very broad manner some of the ways in which these techniques can be applied in medical informatics. It is assumed that the reader has some basic familiarity with the "classical" method of statistical inference and throughout the article the Bayesian techniques are contrasted with their frequentist alternatives.

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Proceedings of the 26th Euromicro Conference. EUROMICRO 2000. Informatics: Inventing the Future

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