Main description:

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.

Contents:

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 Multinomial Distributions 17. Proportions 18. Poisson Distribution 19. Negative Binomial Distribution E. PROBABILITY IN EPIDEMIOLOGY AND MEDICAL DIAGNOSIS 20. Some Epidemiological Considerations: Odds Ratio, Relative Risk, And Attributable Risk 21. Probability, Bayes Theorem, Medical Diagnostic Evaluation, and Screening F. COMPARING MEANS 22: Comparison Of Two Groups: T Tests And Non-Parametric Tests 23. t Test Variants: Cross-over Tests, Equivalence Tests 24. Multiple Comparisons 25. Analysis Of Variance. I. One-Way 26. Analysis Of Variance. II. More Complex Forms G. REGRESSION AND CORRELATION 27. Linear Regression 28. Variations based on linear regression 29. Correlation 30. Multiple Regression 31. Serial measurements: time series, control charts, cusums 32. Dose-Response Analysis 33. Logistic Regression 34. Poisson Regression H. MISCELLANEOUS TOPICS 35. Survival Analysis 36. Meta-Analysis 37. Resampling Statistics 38. Study Design: Sampling, Clinical Trials Answers to problems Glossary Index