Basic Biostatistics for Medical and Biomedical Practitioners. Edition No. 2

  • ID: 4622069
  • Book
  • 750 Pages
  • Elsevier Science and Technology
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Basic Biostatistics for Medical and Biomedical Practitioners, second edition, makes it easier to plan experiments, with emphasis on sample size. It also shows what choices are available when simple tests are unsuitable, and offers investigators an overview of complex tests that they will not do on their own, but need to know how they work.

The second edition presents a new revised and enhanced version of the chapters, taking into consideration new developments and tools available recently, and discusses topics such as basic aspects of statistics, continuous distributions, hypothesis testing, discrete distributions, probability in epidemiology and medical diagnosis, comparing means, regression, and correlation.

Basic Biostatistics for Medical and Biomedical Practitioners, second edition is a valuable source for students and researchers looking to expand or refresh the understanding of statistics as it applies to the biomedical and research fields.

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, and it is a valuable source for researchers who need to understand more about biostatistics to apply to their work.

- Introduces procedures such as multiple regression, Poisson distribution, binomial and multinomial distributions, variance analysis, as well as designing and sampling clinical trials- Presents a new section on ANCOVA- Gives references to free online tests- Each statistical inferential test is followed immediately by a problem, to give readers the opportunity to perform the test and interpret it- Includes over 200 diagrams, which enables the reader to visualize the results- Discusses NHST testing in detail, its disadvantages and how to think about probability; the unsafety of accepting P < .05 is stressed
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Basic Aspects of Statistics 1. Basic Concepts 2. Statistical Use and Misuse in Scientific Publications 3. Some Practical Aspects 4. Exploratory Descriptive Analysis 5. Basic Probability

Continuous Distributions 6. Normal Distribution 7. Statistical Inference: Confidence Limits and the Central Limit Theorem 8. Other Continuous Distributions 9. Outliers and Extreme Values

Hypothesis Testing 10. Hypothesis Testing: The Null Hypothesis, Significance and Type I Error 11. Hypothesis Testing: Sample Size, Effect Size, Power, and Type II Errors

Discrete Distributions 12. Permutations and Combinations; Logarithms 13. Hypergeometric Distribution 14. Categorical and Cross-Classified Data: Goodness of Fit and Association 15. Categorical and Cross-Classified Data 16. Binomial and Multinomial Distributions 17. Proportions 18. The Poisson Distribution 19. Negative Binomial Distribution

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

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

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

Miscellaneous Topics 35. Survival Analysis 36. Meta-analysis 37. Resampling Statistics 38. Design: Sampling, Clinical Trials

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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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