- Preface
- Acknowledgements
- List of Abbreviations
- Biography
- Chapter 1 Scope of epidemiological enquiry and overview of main problem areas
- Chapter 2 Which measure of disease occurrence?
- Chapter 3 Comparing rates between and within populations
- Chapter 4 Studies of disease occurrence
- Chapter 5 Studies of disease occurrence
- Chapter 6 Which type of epidemiological study?
- Chapter 7 Quantifying the association between exposures and diseases
- Chapter 8 Studies of disease causation
- Chapter 9 Use of secondary data
- Chapter 10 Collecting information
- Chapter 11 Obtaining valid information
- Chapter 12 Repeatability
- Chapter 13 Participation in epidemiology studies
- Chapter 14 Feasibility and pilot studies
- Chapter 15 Preparation of collected primary data for statistical analysis
- Chapter 16 Introductory data analysis
- Chapter 17 Introductory data analysis
- Chapter 18 Confounding
- Chapter 19 Bias
- Chapter 20 Association or causation
- Chapter 21 Reviews of evidence
- Chapter 22 Meta-analysis
- Chapter 23 Ethical issues in epidemiology
- Chapter 24 The costs of an epidemiological study
- Index
(p. 168) Introductory data analysis: Analytical epidemiology
- Chapter:
- (p. 168) Introductory data analysis: Analytical epidemiology
- Author(s):
Alan J. Silman
, Gary J. Macfarlane
, and Tatiana Macfarlane
- DOI:
- 10.1093/med/9780198814726.003.0017
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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- Preface
- Acknowledgements
- List of Abbreviations
- Biography
- Chapter 1 Scope of epidemiological enquiry and overview of main problem areas
- Chapter 2 Which measure of disease occurrence?
- Chapter 3 Comparing rates between and within populations
- Chapter 4 Studies of disease occurrence
- Chapter 5 Studies of disease occurrence
- Chapter 6 Which type of epidemiological study?
- Chapter 7 Quantifying the association between exposures and diseases
- Chapter 8 Studies of disease causation
- Chapter 9 Use of secondary data
- Chapter 10 Collecting information
- Chapter 11 Obtaining valid information
- Chapter 12 Repeatability
- Chapter 13 Participation in epidemiology studies
- Chapter 14 Feasibility and pilot studies
- Chapter 15 Preparation of collected primary data for statistical analysis
- Chapter 16 Introductory data analysis
- Chapter 17 Introductory data analysis
- Chapter 18 Confounding
- Chapter 19 Bias
- Chapter 20 Association or causation
- Chapter 21 Reviews of evidence
- Chapter 22 Meta-analysis
- Chapter 23 Ethical issues in epidemiology
- Chapter 24 The costs of an epidemiological study
- Index