Biostatistics for Practitioners: An Interpretative Guide for Medicine and Biology deals with several aspects of statistics that are indispensable for researchers and students across the biomedical sciences.
The book features a step-by-step approach, focusing on standard statistical tests, as well as discussions of the most common errors.
The book is based on the author's 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields.
- Discusses how to use the standard statistical tests in the biomedical field, as well as how to make statistical inferences (t test, ANOVA, regression etc.)
- Includes non-standards tests, including equivalence or non-inferiority testing, extreme value statistics, cross-over tests, and simple time series procedures such as the runs test and Cusums
- Introduces procedures such as multiple regression, Poisson regression, meta-analysis and resampling statistics, and provides references for further studies
A. BASIC ASPECTS OF STATISTICS 1. Basic Concepts 2. Statistical Use And Misuse 3. Some Practical Aspects 4. Exploratory and Descriptive Analysis 5. Basic Probability B. CONTINUOUS DISTRIBUTIONS 6. Normal Distribution 7. Statistical Inference: Confidence Limits And The Central Limit Theorem 8. Other Continuous Distributions 9. Outliers And Extreme Values C. HYPOTHESIS TESTING 10. Hypothesis testing: The Null Hypothesis, Significance and Type I error 11. Hypothesis Testing: Sample Size, Effect Size, Power, Type II Errors D. DISCRETE AND CATEGORICAL DISTRIBUTIONS 12. Permutations and combinations 13. Hypergeometric Distribution 14. Categorical And Cross-Classified Data: Goodness Of Fit And Association 15. Categorical And Cross-Classified Data: McNemar's Test, Kolmogorov-Smirnov Tests, Concordance 16. Binomial and MullS/