Biostatistics: A Foundation for Analysis in the Health Sciences

Biostatistics: A Foundation for Analysis in the Health Sciences
复制标题

DOI:
10.1080/00401706.1988.10488392
复制
发表时间:
1988-05
期刊:
影响因子:
2.5
通讯作者:
E. Ziegel
E. Ziegel
中科院分区:
工程技术3区
文献类型:
--
作者:
E. Ziegel

文献摘要

被引文献

相似文献

生物统计学和技术计量学几乎不是同义词。然而,联邦机构(例如职业安全与健康管理局)执行的法规导致几乎所有工业环境中的统计职能都涉及职业健康问题的统计方面。我与阿莫科的流行病学家和健康安全官员进行了互动。所以我需要一本关于健康统计的书,我买了一本,而不是这本,严格来说它有一个合适的标题。我不喜欢这本书。我很早就深入研究了这本书,看看它是否能让我了解与工业健康问题特别相关的那些方面。我对它对于我学习健康统计事实的有用性有着复杂的感觉,而这些事实还不是我作为一名化学和工程科学统计学家的专业知识的一部分。除了关于列联表频率分析的一章和关于生命统计的非常短的最后一章之外,这与任何应用统计学入门课程中涵盖的材料相同。关于概率分布、抽样分布、估计假设检验和回归的九章共 530 页,与某些工程科学领域的统计学从业者所熟悉的许多统计学书籍中的章节没有什么不同。只有例子和问题才使这本书成为健康科学的书。
Biostatistics and Technometrics are hardly synonymous. Regulations enforced by federal agencies, such as the Occupational Safety and Health Administration, however, cause the statistical function in almost any industrial environment to be concerned with the statistical aspects of occupational health problems. I have had interaction with both the epidemiologists and the health safety officers of Amoco. So I needed a book on health statistics, and I bought one, not this one, based strictly on its having an appropriate title. I did not like the book.I eargerly delved into this book to see if it would inform me about those aspects that are particularly pertinent to the health concerns in industry. I have mixed feelings about its usefulness for my objective of learning those facts of health statistics that are not already part of my expertise as a statistician working in the chemical and engineering sciences. With the exception of one sizable chapter on the analysis of frequencies in contingency tables and a very short final chapter on vital statistics, this is the same material that is covered in any introductory course in applied statistics. Nine chapters on probability distributions, sampling distributions, estimation hypothesis testing, and regression encompass 530 pages and have no sections that are different from those in the many statistics books that are familiar to any practitioner of statistics in some engineering science. Only the examples and the problems make this a book for the health sciences.