INTRODUCTIONQUANTAL RESPONSE BIOASSAYSTypes of Quantal Response BioassaysExperimental Design of BioassaysComputer ProgramsReferencesBINARY RESPONSE WITH ONE EXPLANATORY VARIABLETerminology and General Statistical ModelStatistical MethodsReferencesBINARY QUANTAL RESPONSE: DATA ANALYSESPoloPlusSASR and S-PlusReferencesBINARY QUANTAL RESPONSE: DOSE NUMBER, DOSE SELECTION AND SAMPLE SIZEPoloDoseBasic Binary BioassaysSpecialized Binary BioassaysPractical ConsiderationsReality Checklist for BioassaysReferencesNATURAL VARIATIONDefinitionStatistical Boundaries of Natural VariationLevels of VariationReferencesQUARANTINE STATISTICSTolerance Distributions in Quarantine SecurityEcological Approaches to Quarantine Security: RiskConclusionsReferencesSTATISTICAL ANALYSES OF DATA FROM BIOASSAYS WITH MICROBIAL INSECTICIDESBiological Units and StandardsRevised Definition of Relative PotencyEffects of Natural Variation on Product QualityConclusionsReferencesPESTICIDE RESISTANCEResistance DefinedNatural Variation Versus ResistanceUses of Bioassays to Separate Populations and StrainsStatistical Models of Modes of ResistanceHost-Insect Interaction and the Expression of ResistanceReferencesMIXTURESIndependent, Uncorrelated Joint Action of Pesticide MixturesSimilar (Additive) Joint ActionOther Theoretical Hypotheses of Joint Action of PesticidesSynergistsConclusionsReferencesTIME AS A VARIABLEPurposes of Studies Involving TimeSampling DesignsAnalysis of Independent Time-Mortality DataAnalysis of Serial Time-Mortality DataConclusionsReferencesBINARY QUANTAL RESPONSE WITH MULTIPLE EXPLANATORY VARIABLESEarly Examples and Inefficient AlternativesGeneral Statistical ModelTypes of Variables in Multiple Regression ModelsComputer ProgramsMultiple Probit Analysis: Example from PoloEncoreMultiple Logit Analysis: Sample of Analysis with GLIMConclusionsReferencesMULTIPLE EXPLANATORY VARIABLES: BODY WEIGHTEffects of Erroneous Assumptions About Body WeightTesting the Hypothesis of Proportional ResponseWhen Body Weight is a Significant Independent VariableStandardized Bioassay Techniques Involving WeightConclusionsReferencesPOLYTOMOUS (MULTINOMIAL) QUANTAL RESPONSEExampleMultinomial Logit ModelConclusionsReferencesIMPROVING PREDICTION BASED ON DOSE-RESPONSE BIOASSAYSReferences

LeOra Software, Petaluma, California, USA LeOra Software, El Cerrito, California, USA USDA Forest Service, Albany, California, USA University of Iowa, Iowa City, USA