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Biostatistics for Medical and Biomedical Practitioners

Autor Julien I. E. Hoffman
en Limba Engleză Paperback – 7 sep 2015
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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Specificații

ISBN-13: 9780128023877
ISBN-10: 0128023872
Pagini: 770
Ilustrații: colour illustrations
Dimensiuni: 191 x 235 x 39 mm
Greutate: 1.3 kg
Editura: ELSEVIER SCIENCE

Cuprins

A. BASIC ASPECTS OF STATISTICS1. Basic Concepts 2. Statistical Use And Misuse3. Some Practical Aspects4. Exploratory and Descriptive Analysis5. Basic ProbabilityB. CONTINUOUS DISTRIBUTIONS6. Normal Distribution7. Statistical Inference: Confidence Limits And The Central Limit Theorem8. Other Continuous Distributions9. Outliers And Extreme ValuesC. HYPOTHESIS TESTING10. Hypothesis testing: The Null Hypothesis, Significance and Type I error11. Hypothesis Testing: Sample Size, Effect Size, Power, Type II ErrorsD. DISCRETE AND CATEGORICAL DISTRIBUTIONS12. Permutations and combinations13. Hypergeometric Distribution14. Categorical And Cross-Classified Data: Goodness Of Fit And Association15. Categorical And Cross-Classified Data: McNemar’s Test, Kolmogorov-Smirnov Tests, Concordance16. Binomial and Multinomial Distributions17. Proportions18. Poisson Distribution19. Negative Binomial DistributionE. PROBABILITY IN EPIDEMIOLOGY AND MEDICAL DIAGNOSIS20. Some Epidemiological Considerations: Odds Ratio, Relative Risk, And Attributable Risk21. Probability, Bayes Theorem, Medical Diagnostic Evaluation, and ScreeningF. 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 FormsG. 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 RegressionH. MISCELLANEOUS TOPICS35. Survival Analysis36. Meta-Analysis37. Resampling Statistics38. Study Design: Sampling, Clinical TrialsAnswers to problemsGlossaryIndex