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The third edition of this acclaimed text focuses on the statistical aspects of medicine with a medical perspective, showing how biostatistics is a useful tool to manage medical uncertainties. 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. Graphs and 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.
Medical UncertaintiesUncertainties in Health and DiseaseUncertainties in Medical ResearchUncertainties in Health Planning and EvaluationManagement of Uncertainties: About this Book Basics of Medical StudiesStudy ProtocolTypes of Medical StudiesData CollectionNonsampling Errors and Other Biases Sampling MethodsSampling ConceptsCommon Methods of Random SamplingSome Other Methods of Sampling Designs of Observational StudiesProspective StudiesRetrospective StudiesCross-Sectional StudiesComparative Performance of Prospective, Retrospective and Cross-Sectional Studies Medical ExperimentsBasic Features of Medical ExperimentsDesign of ExperimentsChoice and Sampling of Units for Laboratory Experiments Clinical TrialsTherapeutic TrialsIssues in Clinical TrialsTrials Other than for Therapeutics Numerical Methods for Representing VariationTypes of MeasurementTabular PresentationRates and RatiosCentral and Other LocationsMeasuring Variability Presentation of Variation by FiguresGraphs for Frequency DistributionPie, Bar and Line DiagramsSpecial Diagrams in Health and MedicineCharts and Maps Some Quantitative Aspects of MedicineSome Epidemiological Measures of Health and DiseaseReference ValuesMeasurement of Uncertainty: ProbabilityValidity of Medical Tests Clinimetrics and Evidence-Based MedicineIndicators, Indexes and ScoresClinimetricsEvidence-Based Medicine Measurement of Community HealthIndicators of MortalityMeasures of MorbidityIndicators of Social and Mental HealthComposite Indexes of Health Confidence Intervals, Principles of Tests of Significance, and Sample SizeSampling DistributionsConfidence IntervalsP-Values and Statistical SignificanceAn Initial Debate on Statistical SignificanceNumerical Methods for Assessing Gaussianity Sample Size Determination in Some Cases Inference from ProportionsOne Qualitative VariableProportions in 2x2 TablesAnalysis of RxC Tables (Large n)Three-Way Tables Relative Risk and Odds RatioRelative and Attributable Risks (Large n)Odds RatioStratified Analysis and Sample Size Inference from MeansComparison of Means in One and Two Groups (Gaussian Conditions): Student's t-TestComparison of Means in Three or More Groups (Gaussian Conditions): ANOVAF-TestNon-Gaussian Conditions: Nonparametric Tests for LocationWhen Significant is Not Significant Relationships: Quantitative DataSome General Features of a Regression SetupLinear Regression ModelsSome Issues in RegressionMeasuring the Strength of Quantitative RelationshipAssessment of Agreement Relationships: Qualitative DependentBinary Dependent: Logistic Regression (Large n)Inference from Logistic CoefficientsIssues in Logistic RegressionSome Models for Qualitative DataStrength of Relationship in Qualitative Variables Survival AnalysisLife ExpectancyAnalysis of Survival Data Issues in Survival Analysis Simultaneous Consideration of Several VariablesScope of Multivariate MethodsDependent and Independent Sets of VariablesIdentification of Structure in the Observations Quality ConsiderationsStatistical Quality Control in Medical CareQuality of MeasurementsQuality of Statistical Models: RobustnessQuality of Data Statistical FallaciesProblems with the SampleInadequate AnalysisMisinterpretation