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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

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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

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Hoffman, Julien I. E.
Julien I E Hoffman, M.D., F.R.C.P (London) was born and educated in Salisbury (now Harare) in Southern Rhodesia (now Zimbabwe). He received a Bsc (Hons) in 1945 from the University of the Witwatersrand in South Africa, and his M.B., B.Ch. degree there in 1949. After working in the Departments of Medicine in Johannesburg General Hospital and in the Central Middlesex Hospital in London, he worked for the Medical Research Council at the Royal Postgraduate School in Hammersmith, London. Then he spent two years training in Pediatric Cardiogy at Boston Children´s Hospital, followed by 15 months as a Fellow at the Cardiovascular Research Institute (CVRI) at the University of California in San Francisco (UCSF).
In 1962 he joined the faculty of the Albert Einstein College of Medicine in New York, and moved in 1966 to UCSF as Associate Professor of Pediatrics and member of the CVRI. He spent 50% of his time in the care of children with heart disease and 50% of his time doing research into the pathophysiology of the coronary circulation.
His interest in Statistics began while taking his Science degree. In England, he took a short course run by Bradford Hill. On returning to Johannesburg he was assigned to statistical analyses for other members of the Department of Medicine. Learning was by trial and error, helped by Dr J Kerrich, head of the University´s Statistics Department. Hoffman began teaching statistics to Medical students in 1964, and in San Francisco conducted an approved course for Fellows and Residents for over 30 years. He was a member of the Biostatistics group for approving and coordinating statistics at UCSF. For many years he was a statistical consultant for the journal Circulation Research, and was intermittently statistical consultant to several other medical journals.

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