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Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill gaps in the previous edition. Various topics have been enlarged and modified as per the new understanding of the subject.
Emphasizing statistical concepts used in medicine, the interpretation of methods, and applications, Medical Biostatistics, 4th Edition shows how biostatistical methods are important tools in managing uncertainties in medicine and the health sciences. With coverage ranging from elementary topics, such as mean and standard deviation, to advanced approaches, such as logistic regression and multivariate methods, this edition is even more far-reaching in scope than its predecessor.
Features of Medical Biostatistics 4th Edition PDF:
Features of Medical Biostatistics 4th Edition are given below;
- Full chapters on clinical trials, observational studies, laboratory experiments, survival analysis, and logistic regression.
- A new chapter on clinimetrics and evidence-based medicine.
- Expanded discussions on epistemic uncertainties, crossover designs, equivalence trials and studies, hazard functions, and the log-rank test.
- The introduction of research evidence, multilevel regression, classification, and regression trees at an elementary level.
- Sample size formulas for relative risk, odds ratio, and survival studies.
- Numerous additional examples from contemporary medical literature.
- Numbered steps for the many procedures and remarks.
Table of Contents:
- 1. Planning Studies: From Design to Publication
- 2. Planning Analysis: Addressing Your Scientific Objective
- 3. Probability and Relative Frequency
- 4. Distributions
- 5. Descriptive Statistics
- 6. Finding Probabilities
- 7. Hypothesis Testing: Concept and Practice
- 8. Confidence Intervals
- 9. Tests on Categorical Data
- 10. Risks, Odds, and ROC Curves
- 11. Tests of Location with Continuous Outcomes
- 12. Equivalence Testing
- 13. Tests on Variability and Distributions
- 14. Measuring Association and Agreement
- 15. Linear Regression and Correlation
- 16. Multiple Linear and Curvilinear Regression
- 17. Logistic Regression for Binary Outcomes
- 18. Regression Models for Count Outcomes
- 19. Analysis of Censored Time-To-Event Data
- 20. Analysis of Repeated Continuous Measures of Time
- 21. Sample Size Estimation
- 22. Clinical Trials and Group Sequential Analyses
- 23. Epidemiology and Alternative Sampling Designs
- 24. Meta Analyses
- 25. Bayesian Statistics
- 26. Questionnaires and Surveys
- 27. Techniques to Aid Analysis
- 28. Methods You Might Meet, But Not Every Day
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