Statistics for Toxicologists
eBook - ePub

Statistics for Toxicologists

  1. 216 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistics for Toxicologists

About this book

This book explains how the computer programs work and why and when they can be applied to problems in toxicology. It discusses the statistical models used and their applications in a general fashion. The book overviews the problems that can arise from the blind use of the statistical models.

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Yes, you can access Statistics for Toxicologists by David S. Salsburg,Salsburg in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

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Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. About the Series
  8. Preface
  9. Introduction
  10. Contents
  11. Unit I The LD50
  12. 1 The LD50
  13. First Principles
  14. Introducing Uncertainty
  15. More Uncertainty
  16. Models of Sigmoid Curves
  17. Alternative Mathematical Models
  18. What Is Wrong with It All?
  19. 2 Lessons from the LD50
  20. Overview
  21. Consequences of Bliss’s Formulation
  22. Comparative LD50 Values
  23. Some Comments on Confidence Bounds on the LD50
  24. 3 Theory Behind the LD50
  25. Concept of a Probability Distribution
  26. Gaussian or Normal Distribution
  27. Beyond the Gaussian Distribution
  28. Estimating Parameters
  29. Finding Consistent Estimators of the LD50
  30. The Spearman--Karber Solution
  31. Computing Confidence Bounds
  32. More on Confidence Bounds
  33. Testing Goodness of Fit
  34. Unit II Subchronic Toxicity Studies
  35. 4 Subchronic Toxicity Studies
  36. Overview
  37. Random Assignment of Animals to Treatment
  38. Observations on the Growth of Living Animals
  39. More Observations on Living Animals
  40. Statistical Tests of Hypothesis Reexamined
  41. Directing Statistical Tests
  42. Confidence Bounds on Comparisons
  43. Other Observations on Living Animals
  44. Observations Made on Organ Weights at the Time of Death
  45. Other Observations Made at the Time of Death
  46. The Overall Aim of the Study
  47. 5 Lessons from Subchronic Studies
  48. Looking for the Car Keys
  49. What Is "Significant"?
  50. 6 Theory Behind Statistical Tests
  51. Kurskal--Wallis Nonparametric ANOVA
  52. Fisher’s ANOVA
  53. Neyman--Pearson Formulation of Hypothesis Tests
  54. Neyman--Pearson Hypothesis Testing
  55. One- and Two-Sample Tests
  56. Analysis of Covariance
  57. Improper Uses of Hypothesis Tests
  58. Unit III Chronic Toxicity Studies
  59. 7 Chronic Toxicity Studies
  60. Comparing the Incidence of a Single Well-Defined Lesion
  61. Adjusting Incidence for Time on Study
  62. Analyzing a Single-Graded Lesion
  63. Comparing Multiple Lesions
  64. Use of Historical Controls
  65. 8 Lessons from Chronic Toxicity Studies
  66. Asking the Right Questions
  67. Biology Versus Statistics
  68. 9 Theory Behind Chronic Toxicity Studies
  69. 2 × K Contingency Tables
  70. Adjusting for Time and Other Covariates
  71. Scaling Severity of Lesions
  72. Clustering Techniques
  73. Bayesian Analysis
  74. Measures of Risk
  75. Estimating Effects in a Multivariate Setting
  76. More on Linear Combinations
  77. Clustering and Directed Graphs
  78. References
  79. Index