LEADER 05307nam 2200661 a 450 001 9910877857603321 005 20200520144314.0 010 $a1-282-24992-4 010 $a9786613813862 010 $a1-118-03261-6 010 $a1-118-03086-9 035 $a(CKB)2560000000055457 035 $a(EBL)694589 035 $a(OCoLC)701311767 035 $a(SSID)ssj0000482705 035 $a(PQKBManifestationID)11337953 035 $a(PQKBTitleCode)TC0000482705 035 $a(PQKBWorkID)10525741 035 $a(PQKB)10242420 035 $a(MiAaPQ)EBC694589 035 $a(EXLCZ)992560000000055457 100 $a19981014d1999 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAnalysis of health surveys /$fEdward L. Korn, Barry I. Graubard 210 $aNew York $cWiley$d1999 215 $a1 online resource (408 p.) 225 1 $aWiley series in probability and statistics 300 $a"Published simultaneously in Canada"--T.p. verso. 311 $a0-471-13773-1 320 $aIncludes bibliographical references (p. 347-368) and indexes. 327 $aAnalysis of Health Surveys; Contents; Preface; 1. Introduction; 1.1 Why Analyze Health Surveys?; 1.2 Conducting a Large-scale Health Survey: The Third National Health and Nutrition Examination Survey; 1.3 Common Types of Health Surveys and Their Sample Designs; 1.4 Sampling Frames; 1.5 The Complexity of Analyzing Survey Data: A Preview; 2. Basic Survey Methodology; 2.1 Introduction; 2.2 Single-Stage Sampling Plans; 2.3 Multistage Sampling; 2.4 Variance Estimation of Functions of Estimators: Linearization 327 $a2.5 Replication Methods of Variance Estimation: The Jackknife, Balanced Half-Sample Replication, and the Bootstrap2.6 Using Auxiliary Population Information to Analyze Survey Data: Poststratification, and Ratio and Regression Estimators; 2.7 Nonsampling Errors: Nonresponse, Sampling Frame Undercoverage, and Measurement Error; 2.8 Some Other Types of Surveys; 2.9 Notes; 2.10 Problems; 3. Statistical Analysis with Survey Data; 3.1 Introduction; 3.2 Inference for a Single Variable: Means, Measures of Dispersion, Proportions, Totals, and Percentiles 327 $a3.3 Comparisons Between Two Means: T-Tests and Tests of Proportions3.4 Scatterplots; 3.5 Linear Regression and Analysis of Variance; 3.6 Logistic Regression: Analysis of Categorical Outcomes; 3.7 Survival Analysis: Analysis of Cohort Data; 3.8 Predictive Margins (Direct Standardization); 3.9 Analyses Restricted to Subpopulations; 3.10 Other Types of Analyses; 3.11 Notes; 3.12 Problems; 4. Sample Weights and Imputation; 4.1 Introduction; 4.2 Components of Sample Weights; 4.3 Weighted Versus Unweighted Estimates of Population Parameters; 4.4 The Inefficiency of Using Sample Weights 327 $a4.5 Modeling the Survey Design-An Alternative to Weighted Estimation4.6 Summary of Recommendations for Utilizing Sample Weights; 4.7 Imputation for Missing Data; 4.8 Notes; 4.9 Problems; 5. Additional Issues in Variance Estimation; 5.1 Introduction; 5.2 Limited Degrees of Freedom for Variance Estimation; 5.3 Strata with One Sampled Primary Sampling Unit; 5.4 Variance Estimation for Subpopulations; 5.5 Variance Estimation with Imputed Values; 5.6 Generalized Variance Functions; 5.7 Variance Estimation for Superpopulation Inference; 5.8 Notes; 5.9 Problems; 6. Cross-Sectional Analyses 327 $a6.1 Introduction6.2 Identifying Individuals at High Risk for Snuff Use; 6.3 Blood Lead Levels and Blood Pressure; 6.4 Poverty Index and Height in Children; 6.5 Notes; 6.6 Problems; 7. Analysis of Longitudinal Surveys; 7.1 Introduction; 7.2 Body Iron Stores and the Risk of Developing Cancer; 7.3 Estimating the Transition Probabilities of Becoming Disabled and Recovering from Disability in Old Age; 7.4 Notes; 7.5 Problems; 8. Analyses Using Multiple Surveys; 8.1 Introduction; 8.2 Revising Sample Weights from Multiple Surveys of a Population; 8.3 Growth Charts 327 $a8.4 Changing Rates of Mammography Screening 330 $aHow to apply statistical methods to survey data--a guide to effective analysis of health surveys.With large health surveys becoming increasingly available for public use, researchers with little experience in survey methods are often faced with analyzing data from surveys to address scientific and programmatic questions. This practical book provides statistical techniques for use in survey analysis, making health surveys accessible to statisticians, biostatisticians, epidemiologists, and health researchers. The authors clearly explain the theory and methods of survey analysis along wit 410 0$aWiley series in probability and statistics. 606 $aSampling (Statistics) 606 $aMultivariate analysis 606 $aHealth surveys$xStatistical methods 615 0$aSampling (Statistics) 615 0$aMultivariate analysis. 615 0$aHealth surveys$xStatistical methods. 676 $a614.4/2 700 $aKorn$b Edward Lee$0145513 701 $aGraubard$b Barry I.$f1950-$0145514 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910877857603321 996 $aAnalysis of health surveys$9506930 997 $aUNINA