| Description |
1 online resource (514 pages) |
| Contents |
Cover; Half Title; Title Page; Copyright Page; Contents; Preface; Chapter 1: Study Designs and Measures of Effect Size; 1.1 Study Designs; 1.1.1 Introduction; 1.1.2 Nonexperimental or Observational Studies; 1.1.3 Types of Nonexperimental Designs; 1.1.3.1 Descriptive/Exploratory Survey Studies; 1.1.3.2 Correlational Studies (Ecological Studies); 1.1.3.3 Cross-Sectional Studies; 1.1.3.4 Longitudinal Studies; 1.1.3.5 Prospective or Cohort Studies; 1.1.3.6 Case-Control Studies; 1.1.3.7 Nested Case-Control Study; 1.1.3.8 Case-Crossover Study; 1.1.4 Quasi-Experimental Designs |
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1.1.5 Single-Subject Design (SSD)1.1.6 Quality of Designs; 1.1.7 Confounding; 1.1.8 Sampling; 1.1.9 Types of Sampling Strategies; 1.1.10 Summary; 1.2 Effect Size; 1.2.1 What Is Effect Size?; 1.2.2 Why Report Effect Sizes?; 1.2.3 Measures of Effect Size; 1.2.4 What Is Meant by "Small," " Medium," and " Large"?; 1.2.5 Summary; 1.2.6 American Statistical Association (ASA) Statement about the p-value; Exercises; Chapter 2: Comparing Group Means When the Standard Assumptions Are Violated; 2.1 Introduction; 2.2 Nonnormality; 2.3 Heterogeneity of Variances; 2.3.1 Bartlett' s Test |
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2.3.2 Levene' s Test (1960)2.4 Testing Equality of Group Means; 2.4.1 Welch' s Statistic (1951); 2.4.2 Brown and Forsythe Statistic (1974b) for Testing Equality of Group Means; 2.4.3 Cochran's (1937) Method of Weighing for Testing Equality of Group Means; 2.5 Nonindependence; 2.6 Nonparametric Tests; 2.6.1 Nonparametric Analysis of Milk Data Using SAS; Chapter 3: Analyzing Clustered Data; 3.1 Introduction; 3.2 The Basic Feature of Cluster Data; 3.3 Effect of One Measured Covariate on Estimation of the Intracluster Correlation; 3.4 Sampling and Design Issues; 3.4.1 Comparison of Means |
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3.5 Regression Analysis for Clustered Data3.6 Generalized Linear Models; 3.6.1 Marginal Models (Population Average Models); 3.6.2 Random Effects Models; 3.6.3 Generalized Estimating Equation (GEE); 3.7 Fitting Alternative Models for Clustered Data; 3.7.1 Proc Mixed for Clustered Data; 3.7.2 Model 1: Unconditional Means Model; 3.7.3 Model 2: Including a Family Level Covariate; 3.7.4 Model 3: Including the Sib-Level Covariate; 3.7.5 Model 4: Including One Family Level Covariate and Two Subject Level Covariates; Appendix; Linear Combinations of Random Variables; Two Linear Combinations |
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The Delta MethodExercises; Chapter 4: Statistical Analysis of Cross-Classified Data; 4.1 Introduction; 4.2 Measures of Association in 2 × 2 Tables; 4.2.1 Absolute Risk; 4.2.2 Risk Difference; 4.2.3 Attributable Risk; 4.2.4 Relative Risk; 4.2.5 Odds Ratio; 4.2.6 Relationship between Odds Ratio and Relative Risk; 4.2.7 Incidence Rate and Incidence Rate Ratio As a Measure of Effect Size; 4.2.8 What Is Person-Time?; 4.3 Statistical Analysis from the 2 × 2 Classification Data; 4.3.1 Cross-Sectional Sampling; 4.3.2 Cohort and Case-Control Studies; 4.4 Statistical Inference on Odds Ratio |
| Notes |
4.4.1 Significance Tests |
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Print version record |
| Subject |
Epidemiology -- Statistical methods
|
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Mathematical statistics -- Data processing.
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Epidemiology -- Statistical methods
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Mathematical statistics -- Data processing
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| Form |
Electronic book
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| ISBN |
9781315277721 |
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1315277727 |
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