| Edition |
Seventh edition. |
| Description |
xvii, 859 pages : illustrations ; 27 cm |
| Bibliography |
Includes bibliographical references and indexes. |
| Contents |
Machine generated contents note: ch. 1 General Overview -- ch. 2 Descriptive Statistics -- 2.1. Introduction -- 2.2. Measures of Location -- 2.3. Some Properties of the Arithmetic Mean -- 2.4. Measures of Spread -- 2.5. Some Properties of the Variance and Standard Deviation -- 2.6. The Coefficient of Variation -- 2.7. Grouped Data -- 2.8. Graphic Methods -- 2.9. Case Study 1: Effects of Lead Exposure on Neurological and Psychological Function in Children -- 2.10. Case Study 2: Effects of Tobacco Use on Bone-Mineral Density in Middle-Aged Women -- 2.11. Obtaining Descriptive Statistics on the Computer -- 2.12. Summary -- Problems -- ch. 3 Probability -- 3.1. Introduction -- 3.2. Definition of Probability -- 3.3. Some Useful Probabilistic Notation -- 3.4. The Multiplication Law of Probability -- 3.5. The Addition Law of Probability -- 3.6. Conditional Probability -- 3.7. Bayes' Rule and Screening Tests |
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3.8. Bayesian Inference -- 3.9. ROC Curves -- 3.10. Prevalence and Incidence -- 3.11. Summary -- Problems -- ch. 4 Discrete Probability Distributions -- 4.1. Introduction -- 4.2. Random Variables -- 4.3. The Probability-Mass Function for a Discrete Random Variable -- 4.4. The Expected Value of a Discrete Random Variable -- 4.5. The Variance of a Discrete Random Variable -- 4.6. The Cumulative-Distribution Function of a Discrete Random Variable -- 4.7. Permutations and Combinations -- 4.8. The Binomial Distribution -- 4.9. Expected Value and Variance of the Binomial Distribution -- 4.10. The Poisson Distribution -- 4.11. Computation of Poisson Probabilities -- 4.12. Expected Value and Variance of the Poisson Distribution -- 4.13. Poisson Approximation to the Binomial Distribution -- 4.14. Summary -- Problems -- ch. 5 Continuous Probability Distributions -- 5.1. Introduction -- 5.2. General Concepts -- 5.3. The Normal Distribution -- 5.4. Properties of the Standard Normal Distribution |
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5.5. Conversion from an N(mu,sigma2) Distribution to an N(0, 1) Distribution -- 5.6. Linear Combinations of Random Variables -- 5.7. Normal Approximation to the Binomial Distribution -- 5.8. Normal Approximation to the Poisson Distribution -- 5.9. Summary -- Problems -- ch. 6 Estimation -- 6.1. Introduction -- 6.2. The Relationship Between Population and Sample -- 6.3. Random-Number Tables -- 6.4. Randomized Clinical Trials -- 6.5. Estimation of the Mean of a Distribution -- 6.6. Case Study: Effects of Tobacco Use on Bone-Mineral Density (BMD) in Middle-Aged Women -- 6.7. Estimation of the Variance of a Distribution -- 6.8. Estimation for the Binomial Distribution -- 6.9. Estimation for the Poisson Distribution -- 6.10. One-Sided Cls -- 6.11. Summary -- Problems -- ch. 7 Hypothesis Testing: One-Sample Inference -- 7.1. Introduction -- 7.2. General Concepts -- 7.3. One-Sample Test for the Mean of a Normal Distribution: One-Sided Alternatives -- 7.4. One-Sample Test for the Mean of a Normal Distribution: Two-Sided Alternatives |
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7.5. The Power of a Test -- 7.6. Sample-Size Determination -- 7.7. The Relationship Between Hypothesis Testing and Confidence Intervals -- 7.8. Bayesian Inference -- 7.9. One-Sample x2 Test for the Variance of a Normal Distribution -- 7.10. One-Sample Inference for the Binomial Distribution -- 7.11. One-Sample Inference for the Poisson Distribution -- 7.12. Case Study: Effects of Tobacco Use on Bone-Mineral Density in Middle-Aged Women -- 7.13. Summary -- Problems -- ch. 8 Hypothesis Testing: Two-Sample Inference -- 8.1. Introduction -- 8.2. The Paired t Test -- 8.3. Interval Estimation for the Comparison of Means from Two Paired Samples -- 8.4. Two-Sample t Test for Independent Samples with Equal Variances -- 8.5. Interval Estimation for the Comparison of Means from Two Independent Samples (Equal Variance Case) -- 8.6. Testing for the Equality of Two Variances -- 8.7. Two-Sample t Test for Independent Samples with Unequal Variances -- 8.8. Case Study: Effects of Lead Exposure on Neurologic and Psychological Function in Children |
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8.9. The Treatment of Outliers -- 8.10. Estimation of Sample Size and Power for Comparing Two Means -- 8.11. Sample-Size Estimation for Longitudinal Studies -- 8.12. Summary -- Problems -- ch. 9 Nonparametric Methods -- 9.1. Introduction -- 9.2. The Sign Test -- 9.3. The Wilcoxon Signed-Rank Test -- 9.4. The Wilcoxon Rank-Sum Test -- 9.5. Case Study: Effects of Lead Exposure on Neurologic and Psychological Function in Children -- 9.6. Summary -- Problems -- ch. 10 Hypothesis Testing: Categorical Data -- 10.1. Introduction -- 10.2. Two-Sample Test for Binomial Proportions -- 10.3. Fisher's Exact Test -- 10.4. Two-Sample Test for Binomial Proportions for Matched-Pair Data (McNemar's Test) -- 10.5. Estimation of Sample Size and Power for Comparing Two Binomial Proportions -- 10.6. RxC Contingency Tables -- 10.7. Chi-Square Goodness-of-Fit Test -- 10.8. The Kappa Statistic -- 10.9. Summary -- Problems -- ch. 11 Regression and Correlation Methods -- 11.1. Introduction -- 11.2. General Concepts |
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11.3. Fitting Regression Lines -- The Method of Least Squares -- 11.4. Inferences About Parameters from Regression Lines -- 11.5. Interval Estimation for Linear Regression -- 11.6. Assessing the Goodness of Fit of Regression Lines -- 11.7. The Correlation Coefficient -- 11.8. Statistical Inference for Correlation Coefficients -- 11.9. Multiple Regression -- 11.10. Case Study: Effects of Lead Exposure on Neurologic and Psychological Function in Children -- 11.11. Partial and Multiple Correlation -- 11.12. Rank Correlation -- 11.13. Interval Estimation for Rank-Correlation Coefficients -- 11.14. Summary -- Problems -- ch. 12 Multisample Inference -- 12.1. Introduction to the One-Way Analysis of Variance -- 12.2. One-Way ANOVA -- Fixed-Effects Model -- 12.3. Hypothesis Testing in One-Way ANOVA -- Fixed-Effects Model -- 12.4. Comparisons of Specific Groups in One-Way ANOVA -- 12.5. Case Study: Effects of Lead Exposure on Neurologic and Psychological Function in Children -- 12.6. Two-Way ANOVA |
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12.7. The Kruskal-Wallis Test -- 12.8. One-Way ANOVA -- The Random-Effects Model -- 12.9. The Intraclass Correlation Coefficient -- 12.10. Mixed Models -- 12.11. Summary -- Problems -- ch. 13 Design and Analysis Techniques for Epidemiologic Studies -- 13.1. Introduction -- 13.2. Study Design -- 13.3. Measures of Effect for Categorical Data -- 13.4. Attributable Risk -- 13.5. Confounding and Standardization -- 13.6. Methods of Inference for Stratified Categorical Data -- The Mantel-Haenszel Test -- 13.7. Power and Sample-Size Estimation for Stratified Categorical Data -- 13.8. Multiple Logistic Regression -- 13.9. Extensions to Logistic Regression -- 13.10. Meta-Analysis -- 13.11. Equivalence Studies -- 13.12. The Cross-Over Design -- 13.13. Clustered Binary Data -- 13.14. Longitudinal Data Analysis -- 13.15. Measurement-Error Methods -- 13.16. Missing Data -- 13.17. Summary -- Problems -- ch. 14 Hypothesis Testing: Person-Time Data -- 14.1. Measure of Effect for Person-Time Data |
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14.2. One-Sample Inference for Incidence-Rate Data -- 14.3. Two-Sample Inference for Incidence-Rate Data -- 14.4. Power and Sample-Size Estimation for Person-Time Data -- 14.5. Inference for Stratified Person-Time Data -- 14.6. Power and Sample-Size Estimation for Stratified Person-Time Data -- 14.7. Testing for Trend: Incidence-Rate Data -- 14.8. Introduction to Survival Analysis -- 14.9. Estimation of Survival Curves: The Kaplan-Meier Estimator -- 14.10. The Log-Rank Test -- 14.11. The Proportional-Hazards Model -- 14.12. Power and Sample-Size Estimation under the Proportional-Hazards Model -- 14.13. Parametric Survival Analysis -- 14.14. Parametric Regression Models for Survival Data -- 14.15. Summary -- Problems. |
| Subject |
Biometry -- Textbooks.
|
|
Medical statistics -- Textbooks.
|
|
Biostatistics.
|
|
Biometry.
|
| ISBN |
9780538733496 |
|
0538733497 |
|
9780538735896 paperback |
|
0538735899 paperback |
| Standard No. |
3544957 |
|
