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Home > Mathematics and Science Textbooks > Mathematics > Probability and statistics > Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking(English)
Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking(English)

Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking(English)

          
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About the Book

Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: 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. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. NEW TO THIS EDITION: * Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. * Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. * Chapter 21 contrasts testing for equivalence with testing for differences. * Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. * Chapters 24 and 25 review testing for normality and outliers. * Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. * Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. * Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. * Chapter 47 includes 49 multi-part problems, with answers fully discussed in Chapter 48. * New "Q and A" sections throughout the book review key concepts.

Table of Contents:
PART A. INTRODUCING STATISTICS ; 1. Statistics and Probability Are Not Intuitive ; 2. Why Statistics Can Be Hard to Learn ; 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. Multiple Comparison Traps ; 24. Gaussian or Not? ; 25. Outliers ; PART F. STATISTICAL TESTS ; 26. Comparing Observed and Expected Distributions ; 27. Comparing Proportions: Prospective and Experimental Studies ; 28. Comparing Proportions: 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. Models ; 35. Comparing Models ; 36. Nonlinear Regression ; 37. Multiple, Logistic, and Proportional Hazards Regression ; 38. Multiple Regression Traps ; PART H. THE REST OF STATISTICS ; 39. Analysis of Variance ; 40. Multiple Comparison Tests After ANOVA ; 41. Nonparametric Methods ; 42. Sensitivity Specificity and Receiver-Operator Characteristic Curves ; 43. Sample Size ; PART I. PUTTING IT ALL TOGETHER ; 44. Statistical Advice ; 45. Choosing a Statistical Test ; 46. Capstone Example ; 47. Review Problems ; 48. Answers to Review Problems ; APPENDICES ; A. STATISTICS WITH GRAPHPAD ; B. STATISTICS WITH EXCEL ; C. STATISTICS R ; D. VALUES OF THE T DISTRIBUTION NEEDED TO COMPUTE CIS ; E. A REVIEW OF LOGARITHMS


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Product Details
  • ISBN-13: 9780199730063
  • Publisher: Oxford University Press Inc
  • Publisher Imprint: Oxford University Press Inc
  • Depth: 19
  • Height: 235 mm
  • No of Pages: 447
  • Spine Width: 15 mm
  • Weight: 10 gr
  • ISBN-10: 0199730067
  • Publisher Date: 20 Jan 2010
  • Binding: Paperback
  • Edition: 2 Revised
  • Language: English
  • Series Title: English
  • Sub Title: A Nonmathematical Guide to Statistical Thinking
  • Width: 156 mm


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