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Epidemiology : study design and data analysis

Author: Mark Woodward
Publisher: Boca Raton : Chapman & Hall/CRC, 2014. © 2014
Series: Chapman & Hall/CRC texts in statistical science series
Edition/Format:   eBook : Document : English : Third editionView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mark Woodward
ISBN: 9781482244335 1482244330 9781482243208 1482243202
OCLC Number: 870650593
Notes: Previously issued in print: 2013.
Description: 1 online resource (xxii, 722 pages).
Contents: FUNDAMENTAL ISSUESWhat is Epidemiology?Case Studies: The Work of Doll and HillPopulations and SamplesMeasuring DiseaseMeasuring the Risk FactorCausalityStudies Using Routine DataStudy DesignData AnalysisExercisesBASIC ANALYTICAL PROCEDURESIntroductionCase StudyTypes of VariablesTables and ChartsInferential Techniques for Categorical VariablesDescriptive Techniques for Quantitative VariablesInferences about MeansInferential Techniques for Non-Normal DataMeasuring AgreementAssessing Diagnostic TestsExercisesASSESSING RISK FACTORSRisk and Relative RiskOdds and Odds RatioRelative Risk or Odds Ratio?Prevalence StudiesTesting AssociationRisk Factors Measured at Several LevelsAttributable RiskRate and Relative RateMeasures of DifferenceEPITAB Commands in StataExercisesCONFOUNDING AND INTERACTIONIntroductionThe Concept of ConfoundingIdentification of ConfoundersAssessing ConfoundingStandardizationMantel-Haenszel MethodsThe Concept of InteractionTesting for InteractionDealing with InteractionEPITAB Commands in StataExercisesCOHORT STUDIESDesign ConsiderationsAnalytical ConsiderationsCohort Life TablesKaplan-Meier EstimationComparison of Two Sets of Survival ProbabilitiesCompeting RiskThe Person-Years MethodPeriod-Cohort AnalysisExercisesCASE-CONTROL STUDIESBasic Design ConceptsBasic Methods of AnalysisSelection of CasesSelection of ControlsMatchingThe Analysis of Matched StudiesNested Case-Control StudiesCase-Cohort StudiesCase-Crossover StudiesExercisesINTERVENTION STUDIESIntroductionEthical Considerations Avoidance of BiasParallel Group StudiesCross-Over StudiesSequential StudiesAllocation to Treatment GroupTrials as CohortsExercisesSAMPLE SIZE DETERMINATIONIntroductionPowerTesting a Mean ValueTesting a Difference between Means Testing a ProportionTesting a Relative RiskCase-Control Studies Complex Sampling Designs Concluding RemarksExercisesMODELING QUANTITATIVE OUTCOME VARIABLESStatistical ModelsOne Categorical Explanatory VariableOne Quantitative Explanatory VariableTwo Categorical Explanatory VariablesModel BuildingGeneral Linear ModelsSeveral Explanatory VariablesModel CheckingConfoundingSplinesPanel DataNon-Normal AlternativesExercisesMODELING BINARY OUTCOME DATAIntroductionProblems with Standard Regression ModelsLogistic RegressionInterpretation of Logistic Regression CoefficientsGeneric DataMultiple Logistic Regression ModelsTests of HypothesesConfoundingInteractionDealing with a Quantitative Explanatory VariableModel CheckingMeasurement ErrorCase-Control StudiesOutcomes with Several LevelsLongitudinal Data Binomial RegressionPropensity ScoringExercisesMODELING FOLLOW-UP DATAIntroductionBasic Functions of Survival TimeEstimating the Hazard FunctionProbability ModelsProportional Hazards Regression ModelsThe Cox Proportional Hazards ModelThe Weibull Proportional Hazards ModelModel CheckingCompeting RiskPoisson RegressionPooled Logistic RegressionExercisesMETA-ANALYSISReviewing EvidenceSystematic ReviewA General Approach to PoolingInvestigating HeterogeneityPooling Tabular DataIndividual Participant DataDealing with Aspects of Study QualityPublication BiasAdvantages and Limitations of Meta-Analysis ExercisesRISK SCORES AND CLINICAL DECISION RULESIntroduction Association and Prognosis Risk Scores from Statistical Models Quantifying Discrimination Calibration RecalibrationThe Accuracy of Predictions Assessing an Extraneous Prognostic Variable Reclassification Validation Presentation of Risk Scores Impact StudiesExercisesCOMPUTER-INTENSIVE METHODSRationale The Bootstrap Bootstrap Confidence Intervals Practical Issues When Bootstrapping Further Examples of Bootstrapping Bootstrap Hypothesis Testing Limitations of Bootstrapping Permutation Tests Missing Values Naive Imputation MethodsUnivariate Multiple ImputationMultivariate Multiple ImputationWhen Is It Worth Imputing? ExercisesAppendix A: Materials Available on the Website for This Book Appendix B: Statistical Tables Appendix C: Additional Data Sets for Exercises Index
Series Title: Chapman & Hall/CRC texts in statistical science series
Responsibility: Mark Woodward.

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"This text, like its predecessors, hits the mark. ... The author writes extremely well and the text is resplendent with exercises. It would be a crime if Epidemiology: Study Design and Data Analysis Read more...

 
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