Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized introduction to basic statistical concepts commonly applied in research across the health sciences. With plenty of real-world examples, the new edition provides a practical, modern approach to the statistical topics found in the biomedical and public health fields.
Begins with an overview of descriptive statistics in the health sciences, delivering topical coverage of probability models, parameter estimation, and hypothesis testing. Subsequently, the book focuses on more advanced topics including:
- Regression analysis
- Logistic regression
This extensive update includes:
- A new chapter on the use of higher order Analysis of Variance (ANOVA) in factorial and block designs
- A new chapter on testing and inference methods for repeatedly measured outcomes, including continuous, binary, and count outcomes
- R incorporated throughout along with SAS®, allowing readers to replicate results from presented examples with either software