Bioassays with Arthropods, Third Edition

Description

Imagine a statistics book for bioassays written by a statistician. Next, imagine a statistics book for bioassays written for a layman. Bioassays with Arthropods, Third Edition offers the best of both worlds by translating the terse, precise language of the statistician into language used by the laboratory scientist. The book explains the statistical basis and analysis for each kind of quantal response bioassay in just the right amount of detail. The first two editions were a great reference for designing, conducting, and interpreting bioassays: this completely revised and updated third edition will also train the laboratory scientist to be an expert in estimation of dose response curves. New in the Third Edition: Introduces four new Windows and Apple-based computer programs (PoloJR, OptiDose, PoloMixture and PoloMulti) for the analyses of binary and multiple response analyses, respectively Replaces out-of-date GLIM examples with R program samples Includes a new chapter, Population Toxicology, and takes a systems approach to bioassays Expands the coverage of invasive species and quarantine statistics Building on the foundation set by the much-cited first two editions, the authors clearly delineate applications and ideas that are exceptionally challenging for those not already familiar with their use. They lead you through the methods with such ease and organization, that you suddenly find yourself readily able to apply concepts that you never thought you would understand. To order the PoloSuite computer software described in Bioassays with Arthropods, Third Edition, use the order form found at www.leora-software.com or contact the LeOra Software Company at [email protected]. Content: Cover Half Title Title Page Copyright Page Dedication Table of Contents Preface References Authors Chapter 1: Introduction References Chapter 2: Quantal Response Bioassays 2.1 Types of Quantal Response Bioassays 2.2 Experimental Design of Bioassays 2.2.1 Randomization 2.2.2 Treatments 2.2.3 Controls 2.2.4 Replication 2.2.5 Order of Treatments within a Replication 2.3 Computer Programs References Chapter 3: Binary Quantal Response with One Explanatory Variable 3.1 Terminology and General Statistical Model 3.2 Statistical Methods 3.2.1 Probit or Logit Regression 3.2.1.1 Goodness of Fit 3.2.1.2 Lethal Dose Ratios 3.2.1.3 Comparison of Lethal Dose Ratios 3.3 Risk of Erroneous Conclusions 3.3.1 Interpreting the Results of Hypotheses Tests 3.3.1.1 Regression Lines 3.3.1.2 Point Estimates 3.3.1.3 Groups of Lines with Equal Response 3.4 Alternatives to Probit and Logit Analysis References Chapter 4: Binary Quantal Response: Data Analyses 4.1 PoloJR 4.1.1 Data 4.1.2 Choice Screens and Program Options 4.1.3 Display Results 4.1.3.1 Parameters 4.1.3.2 Individual Regressions 4.1.3.3 Hypotheses Tests 4.1.3.4 LD Ratios 4.1.4 Plot 4.1.5 Conclusions 4.2 SAS 4.3 R and S-Plus References Chapter 5: Binary Quantal Response: Dose Number, Dose Selection, and Sample Size 5.1 Experimental Design 5.1.1 Dose Selection and Sample Size 5.1.2 Number of Doses 5.2 OptiDose Statistics 5.3 Basic Binary Bioassays 5.4 Specialized Binary Bioassays 5.5 Practical Considerations 5.5.1 Basic Bioassays 5.5.2 Specialized Bioassays 5.6 Reality Checklist for Bioassays 5.7 Conclusions References Chapter 6: Natural Variation in Response 6.1 Definition 6.2 Statistical Boundaries of Natural Variation 6.3 Levels of Variation 6.3.1 Sibling Groups 6.3.2 Cohorts within a Single Generation 6.3.3 Developmental Stage 6.4 Effects of Natural Variation on Product Quality References Chapter 7: Invasive Species Statistics 7.1 Probit of 9 7.1.1 Laboratory Bioassays to Estimate Q9 in a Confirmatory Test 7.1.1.1 Differences in Estimates Depending on Tolerance Distribution 7.1.1.2 General Formula for Selection of Dose in a Confirmatory Test Based on Laboratory Bioassays 7.1.1.3 Dose Placement and Sample Size Requirements for Estimation of Q9 in Bioassays 7.1.1.4 Varietal Differences 7.1.2 Confirmatory Tests 7.2 Ecological Approaches to Invasive Species: Risk 7.2.1 The Alternative Efficacy Approach for Species on Poor Hosts 7.2.2 Risk for Lethal and Sublethal Effects on Beneficial Insects 7.2.3 Risk for Preferred Hosts and Heavy Infestations: Systems Approach 7.3 Conclusions References Chapter 8: Statistical Analyses of Data from Bioassays with Microbial Products 8.1 Biological Units and Standards