Principles of Experimental Design for the Life Sciences (Hardcover)

Introduction and OverviewPlanning Biomedical StudiesStudy ObjectivesThe Planning ProcessWriting ProtocolCorrespondence Between Objectives, Design, and AnalysisPrinciples of Statistical DesignBias and VariabilityIdentifying and Quantifying Sources of Bias and VulnerabilityMethods to Control Bias and VariabilityDefining the Experimental UnitRandomizationUniformity TrialsBlockingBlindingSample Size EstimationStatistical ContextSample Sizes for Point EstimationSample Sizes for Interval EstimationSample Sizes for Hypothesis TestingPilot StudiesSubsampling IssuesSensitivity AnalysesCommon Designs in Biological ExperimentationThe Completely Randomized DesignStratified Design/Randomized Block DesignCrossover StudySplit Plot DesignTypes of ControlDose Selection in Dose-Response StudiesMulticenter StudiesSummarySequential Clinical TrialsHistoryRationaleSequential DesignsGroup Sequential DesignsInterim AnalysesData Monitoring BoardsHigh Dimensional Designs and Process OptimizationFractional Factorial DesignResponse Surface MethodologyProcess OptimizationThe Correspondence Between Objectives, Design, and Analysis - RevisitedData Analyses vs. Study Objectives and DesignTypes of DataVerification of AssumptionsMultiplicity AdjustmentsStatistical PackagesAnalysis StrategiesMeta AnalysisSummary and Concluding RemarksThe Role of the StatisticianSummaryConcluding RemarksReferencesAppendix A: Glossary of Statistical TermsAppendix B: Formulas for Sample Size EstimationIndex