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Fundamentals of Biostatistics

By Bernard Rosner

8th Edition © 2016
Discipline:Statistics
Course:Introductory Statistics
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Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems. Most methods are illustrated with specific instructions as to implementation using software either from SAS, Stata, R, Excel or Minitab.

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About this product

Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems. Most methods are illustrated with specific instructions as to implementation using software either from SAS, Stata, R, Excel or Minitab.

Complete online data sets for SAS, SPSS, JMP, MINITAB, Excel, and ASCII formats, covering all problems in the text that make use of real data.

Review problems for quick practice before the main exercise sets.

Large number of applications highlighted in the Index of Applications on the endsheets (they are grouped by medical specialty and summarize the examples and exercises that address each application). Includes cutting-edge research in fields that students will actually be working in later in their academic and professional careers. Many of the applications are based on original research conducted by the author.

Brief solutions for more than 300 problems are given in text and approximately 600 additional problems and complete solutions are given in the Study Guide available on the Companion Website.

Table of contents

Chapters

Cover Page
Title Page
Copyright Page
Dedication
Preface
Acknowledgments
About the Author
Chapter 1. General Overview*Preview this chapter
Chapter 2. Descriptive Statistics
Chapter 3. Probability
Chapter 4. Discrete Probability Distributions
Chapter 5. Continuous Probability Distributions
Chapter 6. Estimation
Chapter 7. Hypothesis Testing: One-Sample Inference
Chapter 8. Hypothesis Testing: Two-Sample Inference
Chapter 9. Nonparametric Methods
Chapter 10. Hypothesis Testing: Categorical Data
Chapter 11. Regression and Correlation Methods
Chapter 12. Multisample Inference
Chapter 13. Design and Analysis Techniques for Epidemiologic Studies
Chapter 14. Hypothesis Testing: Person-Time Data
Appendix
Flowchart
Show more

Chapter 1. General OverviewPreview this chapter ↗

Section Content ↗

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