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THOMAS P. RYAN, PhD, teaches online advanced statistics courses for Northwestern University and The Institute for Statistics Education in sample size determination, design of experiments, engineering statistics, and regression analysis.
Preface
Chapter 1 Brief Review of Hypothesis Testing Concepts/Issues and Confidence Intervals
1.1 Basic Concepts of Hypothesis Testing
1.2 Review of Confidence Intervals and Their Relationship to Hypothesis Tests
1.3 Sports Applications
1.4 Observed Power, Retrospective Power, Conditional Power, and Predictive Power
1.5 Testing for Equality, Equivalence, Non-Inferiority, or Superiority
References
Exercises
Chapter 2 Methods of Determining Sample Size
2.1 Internal Pilot Study versus External Pilot Study
2.2 Examples: Frequentist and Bayesian
2.3 Finite Populations
2.4 Sample Sizes for Confidence Intervals
2.5 Specification of Power
2.6 Cost of Sampling
2.7 Ethical Considerations
2.8 Standardization and Specification of Effect Sizes
2.9 Equivalence Tests
2.10 Software and Applets
2.11 Summary
References
Exercises
Chapter 3 Means and Variances
3.1 One Mean, Normality, and Known Standard Deviation
3.1.1 Using the Coefficient of Variation
3.2 One Mean, Standard Deviation Unknown, Normality Assumed
3.3 Confidence Intervals on Power and/or Sample Size
3.4 One Mean, Standard Deviation Unknown, Non-normality Assumed
3.5 One Mean, Exponential Distribution
3.6 Two Means, Known Standard Deviations -- Independent Samples
3.7 Two Means, Unknown but Equal Standard Deviations -- Independent Samples
3.8 Two Means, Unequal Variances and Sample Sizes -- Independent Samples
3.9 Two Means, Unknown and Unequal Standard Deviations -- Independent Samples
3.10 Two Means, Known and Unknown Standard Deviations -- Dependent Samples
3.11 Bayesian Methods for Comparing Means
3.12 One Variance or Standard Deviation
3.13 Two Variances
3.14 More Than Two Variances
3.15 Confidence Intervals
3.16 Relative Precision
3.17 Computing Aids
3.18 Software
3.19 Summary
Appendix
References
Exercises
Chapter 4 Proportions and Rates
4.1 One Proportion
4.2 Two Proportions
4.3 Multiple Proportions
4.4 Multinomial Probabilities and Distributions
4.5 One Rate
4.6 Two Rates
4.7 Bayesian Sample Size Determination for Rates
4.8 Software
4.9 Summary
Appendix
References
Exercises
Chapter 5 Regression Methods and Correlation
5.1 Linear Regression
5.2 Logistic Regression
5.3 Cox Regression
5.4 Poisson Regression
5.5 Nonlinear Regression
5.6 Other Types of Regression Models
5.7 Correlation
5.8 Software
5.9 Summary
References
Exercises
Chapter 6 Experimental Designs
6.1 One Factor -- Two Fixed Levels
6.2 One Factor -- More Than Two Fixed Levels
6.3 Two Factors
6.4 2 Designs
6.5 2 Designs _____
6.6 Detecting Conditional Effects
6.7 General Factorial Designs
6.8 Repeated Measures Designs
6.9 Response Surface Designs
6.10 Microarray experiments
6.11 Other Designs
6.12 Designs for Nonnormal Responses
6.13 Designs with Random Factors
6.14 Zero Patient Design
6.15 Computer Experiments
6.16 Noninferiority and Equivalence Designs
6.17 Pharmacokinetic Experiments
6.18 Bayesian Experimental Design
6.19 Software
6.20 Summary
Appendix
References
Exercises
Chapter 7 Clinical Trials
7.1 Clinical Trials
7.2 Bioequivalence Studies
7.3 Ethical Considerations
7.4 The Use of Power in Clinical Studies
7.5 Preclinical Experimentation
7.6 Pharmacodynamic, Pharmacokinetic, and Pharmacogenetic Experiments
7.7 Method of Competing Probability
7.8 Bayesian Methods
7.9 Cost and Other Sample Size Determination Methods for Clinical Trials
7.10 Meta-analyses of Clinical Trials
7.11 Miscellaneous
7.12 Survey Results of Published Articles
7.13 Software
7.14 Summary
References
Exercises
Chapter 8 Quality Improvement
8.1 Control Charts
8.2 Medical Applications
8.3 Process Capability Indices
8.4 Tolerance Intervals
8.5 Measurement System Appraisal
8.6 Acceptance Sampling
8.7 Reliability and Life Testing
8.8 Software
8.9 Summary
References
Exercises
Chapter 9 Survival Analysis and Reliability
9.1 Survival Analysis
9.2 Reliability Analysis
9.3 Summary
References
Chapter 10 Nonparametric Methods
10.1 Wilcoxon One-Sample Test
10.2 Wilcoxon Two-Sample Test (Mann-Whitney Test)
10.3 Kruskal-Wallis One-Way ANOVA
10.4 Sign Test
10.5 McNemar's Test
10.6 Contingency Tables
10.7 Quasi-Likelihood Method
10.8 Rank Correlation Coefficients
10.9 Software
10.10 Summary
References
Exercises
Chapter 11 Miscellaneous Topics
11.1 Case-Control Studies
11.2 Epidemiology
11.3 Longitudinal Studies
11.4 Microarray Studies
11.5 Receiver Operating Characteristic ROC Curves
11.6 Meta-Analyses
11.7 Sequential Sample Sizes
11.8 Sample Surveys
11.9 Cluster Sampling
11.10 Factor Analysis
11.11 Multivariate Analysis of Variance and Other Multivariate Methods
11.12 Structural Equation Modeling
11.13 Multilevel Modeling
11.14 Prediction Intervals
11.15 Measures of Agreement
11.16 Spatial Statistics
11.17 Agricultural Applications
11.18 Estimating the Number of Unseen Species
11.19 Test Reliability
11.20 Agreement Studies
11.21 Genome-Wide Association Studies
11.22 National Security
11.23 Miscellaneous
11.24 Summary
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