Download Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, 3rd edition PDF EPUB
Author: Author
Pages: 576
Size: 3.616,07 Kb
Publication Date: December 13,2013
Category: Biostatistics
Completely revised and updated, the 3rd edition of Intuitive Biostatistics: A non-mathematical Guide to Statistical Thinking retains and refines the core perspectives of the prior editions: a concentrate on how exactly to interpret statistical results instead of on how best to analyze data, minimal usage of equations, and an in depth overview of assumptions and common mistakes.
Using its engaging and conversational tone, this original book offers a clear intro to figures for undergraduate and graduate learners in an array of fields and in addition serves as a figures refresher for working researchers. It really is especially useful for all those college students in health-science related areas who have no history in biostatistics.
CONTENTS
Part A: Introducing Figures  1. Interpreting an outcome THAT’S Statistically Significant 19. Meta-analysis Component I Putting EVERYTHING Together 44. Types of Variables  9. Self-confidence Interval of a Proportion  5. Self-confidence Interval of Survival Data  6. Quantifying Scatter 10. Graphing Continuous Data 8. From Sample to Populace Component B: Self-confidence Intervals  4. Self-confidence Interval of Counted Data Component C: Constant Variables  7. Comparing Versions 36. The Lognormal Distribution and Geometric Mean12. Introducing Versions 35. Statistical Significance and Hypothesis Testing17. Mistake Bars Component D: P Ideals and Significance 15. Introducing P Ideals 16. THE IDEA of Confidence Intervals14. Relationship Between Self-confidence Intervals and Statistical Significance 18. Figures and Probability AREN’T Intuitive 2. Interpreting an outcome THAT’S NOT Statistically Significant 20. Statistical Power21. Tests for Equivalence or Noninferiority PART Electronic: Challenges in Stats 22. Multiple Comparisons Ideas 23. Multiple Comparison Testing After ANOVA 41. Normality Tests25. non-linear Regression37. Evaluating Survival Curves 30. Evaluating Proportions28. Case-Control Studies29. Choosing a Sample Size Component F: Statistical Testing 27. Evaluating Two Means: Unpaired t Check31. Evaluating Two Paired Groupings32. Correlation PART G: Fitting Versions to Data 33. Basic Linear Regression34. Self-confidence Interval of a Mean 13. The Gaussian Distribution 11. Outliers 26. Multiple Regression 38. Logistic and Proportional Hazards Regression Component H THE OTHERS of Stats 39. Evaluation of Variance 40. The Ubiquity of Multiple Assessment24. THE MAIN ELEMENT Concepts of Statistics45. Sensitivity and Specificity and Receiver-Operator Characteristic Curves 43. The Complexities of Probability 3. non-parametric Strategies42. Statistical Traps to Avoid46. Capstone Example 47. Review Complications 48. Answers to examine Complications Â