
- 216 pages
- English
- ePUB (mobile friendly)
- 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.
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Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Dedication Page
- About the Series
- Preface
- Introduction
- Contents
- Unit I The LD50
- 1 The LD50
- First Principles
- Introducing Uncertainty
- More Uncertainty
- Models of Sigmoid Curves
- Alternative Mathematical Models
- What Is Wrong with It All?
- 2 Lessons from the LD50
- Overview
- Consequences of Bliss’s Formulation
- Comparative LD50 Values
- Some Comments on Confidence Bounds on the LD50
- 3 Theory Behind the LD50
- Concept of a Probability Distribution
- Gaussian or Normal Distribution
- Beyond the Gaussian Distribution
- Estimating Parameters
- Finding Consistent Estimators of the LD50
- The Spearman--Karber Solution
- Computing Confidence Bounds
- More on Confidence Bounds
- Testing Goodness of Fit
- Unit II Subchronic Toxicity Studies
- 4 Subchronic Toxicity Studies
- Overview
- Random Assignment of Animals to Treatment
- Observations on the Growth of Living Animals
- More Observations on Living Animals
- Statistical Tests of Hypothesis Reexamined
- Directing Statistical Tests
- Confidence Bounds on Comparisons
- Other Observations on Living Animals
- Observations Made on Organ Weights at the Time of Death
- Other Observations Made at the Time of Death
- The Overall Aim of the Study
- 5 Lessons from Subchronic Studies
- Looking for the Car Keys
- What Is "Significant"?
- 6 Theory Behind Statistical Tests
- Kurskal--Wallis Nonparametric ANOVA
- Fisher’s ANOVA
- Neyman--Pearson Formulation of Hypothesis Tests
- Neyman--Pearson Hypothesis Testing
- One- and Two-Sample Tests
- Analysis of Covariance
- Improper Uses of Hypothesis Tests
- Unit III Chronic Toxicity Studies
- 7 Chronic Toxicity Studies
- Comparing the Incidence of a Single Well-Defined Lesion
- Adjusting Incidence for Time on Study
- Analyzing a Single-Graded Lesion
- Comparing Multiple Lesions
- Use of Historical Controls
- 8 Lessons from Chronic Toxicity Studies
- Asking the Right Questions
- Biology Versus Statistics
- 9 Theory Behind Chronic Toxicity Studies
- 2 × K Contingency Tables
- Adjusting for Time and Other Covariates
- Scaling Severity of Lesions
- Clustering Techniques
- Bayesian Analysis
- Measures of Risk
- Estimating Effects in a Multivariate Setting
- More on Linear Combinations
- Clustering and Directed Graphs
- References
- Index