Download Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, 3rd edition

Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, 3rd edition [Paperback]

Author: Harvey Motulsky | Language: English | ISBN: 0199946647 | Format: PDF, EPUB

Description
Book Details
Table of Contents
Reviews

Download Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, 3rd edition
Direct download links available Download Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, 3rd edition for everyone book mediafire, rapishare, and mirror link

Thoroughly revised and updated, the third edition of Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking retains and refines the core perspectives of the previous editions: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes.

With its engaging and conversational tone, this unique book provides a clear introduction to statistics for undergraduate and graduate students in a wide range of fields and also serves as a statistics refresher for working scientists. It is especially useful for those students in health-science related fields who have no background in biostatistics.

CONTENTS

Part A: Introducing Statistics

1. Statistics and Probability Are Not Intuitive

2. The Complexities of Probability

3. From Sample to Population

Part B: Confidence Intervals

4. Confidence Interval of a Proportion

5. Confidence Interval of Survival Data

6. Confidence Interval of Counted Data

Part C: Continuous Variables

7. Graphing Continuous Data

8. Types of Variables

9. Quantifying Scatter

10. The Gaussian Distribution

11. The Lognormal Distribution and Geometric Mean

12. Confidence Interval of a Mean

13. The Theory of Confidence Intervals

14. Error Bars

PART D: P Values and Significance

15. Introducing P Values

16. Statistical Significance and Hypothesis Testing

17. Relationship Between Confidence Intervals and Statistical Significance

18. Interpreting a Result That Is Statistically Significant

19. Interpreting a Result That Is Not Statistically Significant

20. Statistical Power

21. Testing for Equivalence or Noninferiority

PART E: Challenges in Statistics

22. Multiple Comparisons Concepts

23. The Ubiquity of Multiple Comparison

24. Normality Tests

25. Outliers

26. Choosing a Sample Size

PART F: Statistical Tests

27. Comparing Proportions

28. Case-Control Studies

29. Comparing Survival Curves

30. Comparing Two Means: Unpaired t Test

31. Comparing Two Paired Groups

32. Correlation

PART G: Fitting Models to Data

33. Simple Linear Regression

34. Introducing Models

35. Comparing Models

36. Nonlinear Regression

37. Multiple Regression

38. Logistic and Proportional Hazards Regression

PART H The Rest of Statistics

39. Analysis of Variance

40. Multiple Comparison Tests After ANOVA

41. Nonparametric Methods

42. Sensitivity and Specificity and Receiver-Operator Characteristic Curves

43. Meta-analysis

PART I Putting It All Together

44. The Key Concepts of Statistics

45. Statistical Traps to Avoid

46. Capstone Example

47. Review Problems

48. Answers to Review Problems

Direct download links available for Download Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, 3rd edition [Paperback]

Paperback: 576 pages
Publisher: Oxford University Press, USA; 3rd edition (December 13, 2013)
Language: English
ISBN-10: 0199946647
ISBN-13: 978-0199946648
Product Dimensions: 9.3 x 6.2 x 0.8 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)

This is a fantastic book. It is well written and enjoyable to read. I bought it to complement Fundamentals of Biostatistics by Rosner I was reading at the time. This is the book you need to read if you want to understand the "why", but not necessarily the "how" behind different statistical approaches or if you want to be able to interpret the results of a statistical analysis.
By Natalie D. Fedorova

For over a decade, I have been searching for a clear, lucid guide to statistics that I can use in my research and share with my students. Finally, after combing through dozens of books, I can say I found an excellent book.

Harvey Motulsky seems to have pulled off the trick of writing a book with high explanatory power that will not intimidate the busy undergraduate, graduate student, postdoc, or primary investigator who wants to learn the necessary information but does not want to drown in esoteric details, problem sets, or unhelpful information. As a practicing neuroscientist, I appreciate a guide that is informative but also a pleasure to read (I don't have time to read through the standard statistic texts I have come across).

It is not surprising that Motulsky is also the CEO of GraphPad Software, the company that makes Prism. This software intuitively guides scientists into using the appropriate statistical tests for their data, and it is easily the best and most user-friendly statistical software on the market. I have used Prism for years and was unaware that Motulsky also wrote this book. Now I plan on recommending this book to my students and colleagues, and I purchased a copy for my office and lab.

If you are a bioscientist intimidated by statistics (or feel like you could use a refresher after a long ago forgotten stats class), this book is a gem.
By Matt Carter

Book Preview

Download Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, 3rd edition Download

Please Wait...