基本説明
The third edition of this acclaimed text focuses on the statistical aspects of medicine, showing how biostatistics is a useful tool to managing medical uncertainties. Presents step-by-step explanations of statistical methods with the help of numerous real-world examples.
Full Description
Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Third Edition focuses on the statistical aspects of medicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. The author concludes "Just as results of medical tests, statistical results can be false negative or false positive".This edition provides expanded coverage of topics and includes software illustrations. The author presents step-by-step explanations of statistical methods with the help of numerous real-world examples. Guide charts at the beginning of the book enable quick access to the relevant statistical procedure, and the comprehensive index makes it easier to locate terms of interest.
Contents
Medical UncertaintiesRole of BiostatisticsUncertainties in Health and DiseaseUncertainties in Medical ResearchUncertainties in Health Planning and EvaluationManagement of Uncertainties: About This BookBasics of Medical StudiesStudy ProtocolTypes of Medical StudiesData CollectionNonsampling Errors and Other BiasesSampling MethodsSampling ConceptsCommon Methods of Random SamplingSome Other Methods of SamplingDesigns for Observational StudiesSome Basic ConceptsProspective StudiesRetrospective Studies.Cross-Sectional StudiesComparative Performance of Prospective, Retrospective, and Cross-Sectional StudiesMedical ExperimentsBasic Features of Medical ExperimentsDesign of ExperimentsChoice and Sampling of Units for Laboratory Experiments6Clinical TrialsTherapeutic TrialsIssues in Clinical TrialsTrials Other than TherapeuticsNumerical Methods for Representing VariationTypes of MeasurementTabular PresentationRates and RatiosCentral and Other LocationsMeasuring VariabilityPresentation of Variation by FiguresGraphs for Frequency DistributionPie, Bar, and Line DiagramsSpecial Diagrams in Health and MedicineCharts and MapsSome Quantitative Aspects of MedicineSome Epidemiological Measures of Health and DiseaseReference ValuesMeasurement of Uncertainty: ProbabilityValidity of Medical TestsSearch for the Best Threshold of Continuous Test: ROC CurveClinimetrics and Evidence-Based MedicineIndicators, Indexes, and ScoresClinimetricsEvidence-Based MedicineMeasurement of Community HealthIndicators of MortalityMeasures of MorbidityIndicators of Social and Mental HealthComposite Indexes of HealthConfidence Intervals, Principles of Tests of Significance, and Sample SizeSampling DistributionsConfidence IntervalsP-Values and Statistical SignificanceAssessing Gaussian PatternInitial Debate on Statistical SignificanceSample Size Determination in Some CasesInference from ProportionsOne Qualitative VariableProportions in 2 x 2 TablesAnalysis of R x C Tables (Large n)Three-Way TablesAssessment of Association in Three-Way TablesRelative Risk and Odds RatioRelative and Attributable Risks (Large n)Odds RatioStratified Analysis, Sample Size, and Meta AnalysisInference from MeansComparison of Means in One and Two Groups (Gaussian Conditions): Student t-TestComparison of Means in Three or More Groups (Gaussian Conditions): ANOVA F-TestNon-Gaussian Conditions: Nonparametric Tests for LocationWhen Significant Is Not SignificantRelationships: Quantitative DataSome General Features of a Regression SetupLinear Regression ModelsSome Issues in Linear RegressionMeasuring the Strength of Quantitative RelationshipAssessment of Quantitative AgreementRelationships: Qualitative Dependent.Binary Dependent: Logistic Regression (Large n)Inference from Logistic CoefficientsIssues in Logistic RegressionSome Models for Qualitative Data and GeneralizationsStrength of Relationship in Qualitative VariablesSurvival AnalysisLife ExpectancyAnalysis of Survival DataIssues in Survival AnalysisSimultaneous Consideration of Several VariablesScope of Multivariate MethodsDependent and Independent Sets of VariablesIdentification of Structure in the ObservationsQuality ConsiderationsStatistical Quality Control in Medical CareQuality of MeasurementsQuality of Statistical Models: RobustnessQuality of DataStatistical FallaciesProblems with the SampleInadequate AnalysisErrors in Presentation of FindingsMisinterpretationAppendix A: Statistical SoftwareAppendix B: Some Statistical TablesAppendix C: Software Illustrations
