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Biostatistics for Medical and Biomedical Practitioners
A guide on how to describe statistical results and interpret tests of hypotheses
Julien I. E. Hoffman (Author)
9780128170847, Elsevier Science
Paperback, published 20 March 2019
734 pages, Approx. 100 illustrations
23.4 x 19 x 4.5 cm, 1.36 kg
Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition makes it easier to plan experiments, with an emphasis on sample size. It also shows what choices are available when simple tests are unsuitable and offers investigators an overview of how the kinds of complex tests that they won't do on their own work. The second edition presents a new, revised and enhanced version of the chapters, taking into consideration new developments and tools available, discussing topics, such as the basic aspects of statistics, continuous distributions, hypothesis testing, discrete distributions, probability in epidemiology and medical diagnosis, comparing means, regression and correlation. This book is a valuable source for students and researchers looking to expand or refresh their understanding of statistics as it applies to the biomedical and research fields. Based on the author’s 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields, it is a valuable source for researchers who need to understand more about biostatistics to apply it to their work.
Basic Aspects of Statistics1. Basic Concepts 2. Statistical Use and Misuse in Scientific Publications 3. Some Practical Aspects4. Exploratory Descriptive Analysis5. Basic Probability Continuous Distributions6. Normal Distribution7. Statistical Inference: Confidence Limits and the Central Limit Theorem8. Other Continuous Distributions9. Outliers and Extreme Values Hypothesis Testing10. Hypothesis Testing: The Null Hypothesis, Significance and Type I Error11. Hypothesis Testing: Sample Size, Effect Size, Power, and Type II Errors Discrete Distributions12. Permutations and Combinations; Logarithms13. Hypergeometric Distribution14. Categorical and Cross-Classified Data: Goodness of Fit and Association15. Categorical and Cross-Classified Data16. Binomial and Multinomial Distributions17. Proportions18. The Poisson Distribution19. Negative Binomial Distribution Probability in Epidemiology and Medical Diagnosis20. Some Epidemiological Considerations: Odds Ratio, Relative Risk, and Attributable Risk21. Probability, Bayes Theorem, Medical Diagnostic Evaluation, and Screening Comparing Means22. Comparison of Two Groups: T Tests and Non-Parametric Tests23. T Test Variants: Cross-Over Tests, Equivalence Tests24. Multiple Comparisons25. Analysis of Variance. I - One-Way26. Analysis of Variance. II - More Complex Forms Regression and Correlation27. Linear Regression28. Variations Based on Linear Regression29. Correlation30. Multiple Regression31. Serial Measurements: Time Series, Control Charts, Cusums32. Dose-Response Analysis33. Logistic Regression34. Poisson Regression Miscellaneous Topics35. Survival Analysis36. Meta-analysis37. Resampling Statistics38. Design: Sampling, Clinical Trials
Subject Areas: Applied mathematics [PBW], Probability & statistics [PBT], Medical bioinformatics [MBF]
