入门数据分析

A. Silman, G. Macfarlane, T. Macfarlane
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引用次数: 1

摘要

本章建立在前一章关于描述性流行病学研究分析的基础上,并说明了适用于分析性流行病学研究分析的统计方法。它主要侧重于从病例对照和队列研究中获得的数据,但也考虑了第6章中提出的其他研究设计。还有一些实际的例子有助于分析和解释分析性流行病学研究的结果。实际上,很少有数学计算是在没有计算机的情况下完成的。然而,在本章中,给出了主要效果度量的公式和算例。事实上,当数据以表格形式提供时,而不是原始数据文件,通常很容易“手工”计算重要的度量。所提出的公式将允许读者,例如,检查或进一步探索由他人发表的数据。
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Introductory data analysis
This chapter builds on the previous one on the analysis of descriptive epidemiological studies and illustrates statistical methods appropriate for analysis of analytical epidemiological studies. It mainly focuses on data obtained from case–control and cohort studies, but also considers other study designs presented in Chapter 6. There are also several practical examples to help with the analysis and interpretation of the results of analytical epidemiological studies. In practice, relatively little mathematical calculation is done without computers. In this chapter, however, formulae are presented for the main measures of effect together with worked examples. Indeed, when data are available in tabulated form, as opposed to raw data files, it is frequently an easy task to calculate the important measures ‘by hand’. The formulae presented will permit the reader, for example, to check or further explore data published by others.
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Preparation of collected primary data for statistical analysis Obtaining valid information Comparing rates between and within populations Collecting information Which type of epidemiological study?
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