- 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. 121) Participation in epidemiology studies
- Chapter:
- (p. 121) Participation in epidemiology studies
- Author(s):
Alan J. Silman
, Gary J. Macfarlane
, and Tatiana Macfarlane
- DOI:
- 10.1093/med/9780198814726.003.0013
There are two major reasons to maximize participation in an epidemiological study. Firstly, low participation can lead to bias and secondly, inadequate numbers recruited can limit the power of the study. All other things being equal, lower participation will increase the influence of non-response bias in a study. However, it should be noted that even in studies with high participation there exists a possibility of selection bias if non-participants are markedly different from participants in aspects that are key to the conditions being studied. There are several ways of boosting participation which should be embedded into the study design from the start, since chasing up to increase participation is resource-expensive.
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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