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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
About the Author:
Dr Abhaya Indrayan is author of Medical Biostatistics (3rd ed. CRC Press) and former Professor and Chair of the Department of Biostatistics and Medical Informatics at Delhi University College of Medical Sciences, Delhi. He has frequently provided biostatistical consultation to the World Health Organization, the World Bank and UNAIDS. Dr Indrayan has delivered the inaugural address at Biostatistics Workshop at Institute of Cytology and Preventive Oncology, NOIDA, been a Guest of Honor at Workshop on Designs and Sample Size at Postgraduate Institute of Medical Sciences and Research, Chandigarh. and presented papers in more than 20 international conferences.
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