Bioassays with Arthropods
Providing clear examples of the use of state-of-the-art computer programs for analyses of bioassay data, Bioassays with Arthropods, Second Edition explains the statistical basis and analysis for each kind of quantal response bioassay. The first edition was a must-have reference for designing, conducting, and interpreting bioassays: this completely revised and updated second edition is positioned to be the same.\ New in the Second Edition:\ · Includes new chapters on Natural Variation,...
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Providing clear examples of the use of state-of-the-art computer programs for analyses of bioassay data, Bioassays with Arthropods, Second Edition explains the statistical basis and analysis for each kind of quantal response bioassay. The first edition was a must-have reference for designing, conducting, and interpreting bioassays: this completely revised and updated second edition is positioned to be the same.New in the Second Edition:· Includes new chapters on Natural Variation, Quarantine Statistics, Statistical Analysis of Data from Bioassays with Microbial Insecticides, and Pesticide Resistance· Emphasizes estimation of natural variation in response as the necessary precursor for claims of pesticide resistance, varietal differences, and differences in microbial potency· Expands the coverage of binary Quantal Response: Dose Number, Dose Selection, and Sample Size· Discusses varietal testing of horticultural exports· Introduces two Windows-based computer programs (PoloPlus and PoloEncore) for the analyses of binary and multiple response analyses, respectivelyBuilding on the foundation set by the much-cited first edition, 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 Polo computer software described in Bioassays with Arthropods, Second Edition, use the order form found at www.leorasoftware.com or contact theLeOra Software Company at .
INTRODUCTION QUANTAL RESPONSE BIOASSAYSTypes of Quantal Response Bioassays Experimental Design of Bioassays Computer ProgramsBINARY QUANTAL RESPONSE WITH ONE EXPLANATORY VARIABLETerminology and General Statistical Model Statistical MethodsBINARY QUANTAL RESPONSE: DATA ANALYSESPoloPlus ISAS R and SPlusBINARY QUANTAL RESPONSE: DOSE NUMBER, DOSE SELECTION, AND SAMPLE SIZEPoloDose Basic Binary Bioassays Specialized Binary Bioassays Practical Considerations Reality Checklist for BioassaysNATURAL VARIATION IN RESPONSEDefinition Statistical Boundaries of Natural Variation Levels of VariationQUARANTINE STATISTICSTolerance Distributions in Quarantine Security Ecological Approaches to Quarantine Security: Risk ConclusionsSTATISTICAL ANALYSES OF DATA FROM BIOASSAYS WITH MICROBIAL PRODUCTSBiological Units and Standards A Revised Definition of Relative Potency Effects of Natural Variation on Product Quality ConclusionsPESTICIDE RESISTANCEResistance Defined Natural Variation versus Resistance Use of Bioassays to Separate Populations and Strains Statistical Models of Modes of Resistance InheritanceMixturesIndependent, Uncorrelated Joint Action of Pesticide Mixtures Similar (Additive) Joint Action Other Theoretical Hypotheses of Joint Action of Pesticides Synergists ConclusionsTIME AS A VARIABLEPurposes of Studies Involving Time Sampling Designs Analysis of Independent Time-Mortality Data Analysis of Serial Time-Mortality Data ConclusionsBINARY QUANTAL RESPONSE WITH MULTIPLE EXPLANATORY VARIABLESEarly Examples and Inefficient Alternatives A General Statistical Model Types of Variables in Multiple Regression Models Computer Programs Multiple Probit Analysis: An Example from PoloEncore Multiple Logit Analysis: Sample of Analysis with GLIM ConclusionsMULTIPLE EXPLANATORY VARIABLES: BODY WEIGHTEffects of Erroneous Assumptions about Body Weight Testing the Hypothesis of Proportional Response When Body Weight Is a Significant Independent Variable Standardized Bioassay Techniques Involving Weight ConclusionsPOLYTOMOUS (MULTINOMIAL) QUANTAL RESPONSEExample The Multinomial Logit Model ConclusionsIMPROVING PREDICTION BASED ON DOSE-RESPONSE BIOASSAYS Each chapter concludes with references
