Statistical Estimation of Epidemiological Risk provides coverage of the most important epidemiological indices, and includes recent developments in the field. A useful reference source for biostatisticians and epidemiologists working in disease prevention, as the chapters are self-contained and feature numerous real examples. It has been written at a level suitable for public health professionals with a limited knowledge of statistics.
Other key features include:
- Provides comprehensive coverage of the key epidemiological indices.
- Includes coverage of various sampling methods, and pointers to where each should be used.
- Includes up-to-date references and recent developments in the field.
- Features many real examples, emphasising the practical nature of the book.
- Each chapter is self-contained, allowing the book to be used as a useful reference source.
- Includes exercises, enabling use as a course text.
About the author. Preface.
1 Population Proportion or Prevalence.
1.1 Binomial sampling.
1.2 Cluster sampling.
1.3 Inverse sampling.
Exercises.
References.
2 Risk Difference.
2.1 Independent binomial sampling.
2.2 A series of independent binomial sampling procedures.
2.2.1 Summary interval estimators.
2.2.2 Test for the homogeneity of risk difference.
2.3 Independent cluster sampling.
2.4 Paired-sample data.
2.5 Independent negative binomial sampling (inverse sampling).
2.6 Independent poisson sampl³i