Intuitive Biostatistics: A Nonmathematical Guide To Statistical Thinking, 3Rd Edition

Intuitive Biostatistics: A Nonmathematical Guide To Statistical Thinking, 3Rd Edition

SKU: SONG0199946647
Categories : Science & Math
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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 Healthscience Related Fields Who Have No Background In Biostatistics.Contentspart 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 Mean12. Confidence Interval Of A Mean 13. The Theory Of Confidence Intervals14. Error Bars Part D: P Values And Significance 15. Introducing P Values 16. Statistical Significance And Hypothesis Testing17. 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 Power21. Testing For Equivalence Or Noninferioritypart E: Challenges In Statistics 22. Multiple Comparisons Concepts 23. The Ubiquity Of Multiple Comparison24. Normality Tests25. Outliers 26. Choosing A Sample Sizepart F: Statistical Tests 27. Comparing Proportions28. Casecontrol Studies29. Comparing Survival Curves 30. Comparing Two Means: Unpaired T Test31. Comparing Two Paired Groups32. Correlation Part G: Fitting Models To Data 33. Simple Linear Regression34. Introducing Models 35. Comparing Models 36. Nonlinear Regression37. Multiple Regression 38. Logistic And Proportional Hazards Regressionpart H The Rest Of Statistics 39. Analysis Of Variance 40. Multiple Comparison Tests After Anova 41. Nonparametric Methods42. Sensitivity And Specificity And Receiveroperator Characteristic Curves 43. Metaanalysispart I Putting It All Together 44. The Key Concepts Of Statistics45. Statistical Traps To Avoid46. Capstone Example 47. Review Problems 48. Answers To Review Problems

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