Efnisyfirlit

• Cover
• Preface
  • Changes and Updates to This Edition
  • Coverage Ideas
  • Supplements
  • Acknowledgments
  • Final Note
• 1 Introduction to Biostatistics
  • 1.1 Introduction
  • 1.2 Basic Concepts and Definitions
  • 1.3 Measurement and Measurement Scales
  • 1.4 Sampling and Statistical Inference
  • 1.5 The Scientific Method
  • 1.6 Computers and Technology
  • 1.7 Summary
  • Review Questions and Exercises
  • References
• 2 Descriptive Statistics
  • 2.1 Introduction
  • 2.2 The Ordered Array
  • 2.3 Frequency Tables
  • 2.4 Measures of Central Tendency
  • 2.5 Measures of Dispersion
  • 2.6 Visualizing Data
  • 2.7 Summary
  • Summary of Formulas for Chapter 2
  • Review Questions and Exercises
  • References
• 3 Some Basic Probability Concepts
  • 3.1 Introduction
  • 3.2 Two Views of Probability: Objective and Subjective
  • 3.3 Elementary Properties of Probability
  • 3.4 Calculating the Probability of an Event
  • 3.5 Bayes’ Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and Negative
  • 3.6 Summary
  • Summary of Formulas for Chapter 3
  • Review Questions and Exercises
  • References
• 4 Probability Distributions
  • 4.1 Introduction
  • 4.2 Probability Distributions of Discrete Variables
  • 4.3 The Binomial Distribution
  • 4.4 The Poisson Distribution
  • 4.5 Continuous Probability Distributions
  • 4.6 The Normal Distribution
  • 4.7 Normal Distribution Applications
  • 4.8 Summary
  • Summary of Formulas for Chapter 4
  • Review Questions and Exercises
  • References
• 5 Some Important Sampling Distributions
  • 5.1 Introduction
  • 5.2 Sampling Distributions
  • 5.3 Distribution of the Sample Mean
  • 5.4 Distribution of the Difference Between Two Sample Means
  • 5.5 Distribution of the Sample Proportion
  • 5.6 Distribution of the Difference Between Two Sample Proportions
  • 5.7 Summary
  • Summary of Formulas for Chapter 5
  • Review Questions and Exercises
  • References
• 6 Estimation
  • 6.1 Introduction
  • 6.2 Confidence Interval for a Population Mean
  • 6.3 The t Distribution
  • 6.4 Confidence Interval for the Difference Between Two Population Means
  • 6.5 Confidence Interval for a Population Proportion
  • 6.6 Confidence Interval for the Difference Between Two Population Proportions
  • 6.7 Determination of Sample Size for Estimating Means
  • 6.8 Determination of Sample Size for Estimating Proportions
  • 6.9 The Chi-Square Distribution and the Confidence Interval for the Variance of a Normally Distributed Population
  • 6.10 The F-Distribution and the Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations
  • 6.11 Summary
  • Summary of Formulas for Chapter 6
  • Review Questions and Exercises
  • References
• 7 Hypothesis Testing
  • 7.1 Introduction
  • 7.2 Hypothesis Testing: A Single Population Mean
  • 7.3 Hypothesis Testing: The Difference Between Two Population Means
  • 7.4 Paired Comparisons
  • 7.5 Hypothesis Testing: A Single Population Proportion
  • 7.6 Hypothesis Testing: The Difference Between Two Population Proportions
  • 7.7 Hypothesis Testing: A Single Population Variance
  • 7.8 Hypothesis Testing: The Ratio of Two Population Variances
  • 7.9 The Type II Error and the Power of a Test
  • 7.10 Determining Sample Size to Control Type II Errors
  • 7.11 Summary
  • Summary of Formulas for Chapter 7
  • Review Questions and Exercises
  • Exercises for Use with Large Data Sets Available on the Following Website: www.wiley.com/college/daniel
  • References
• 8 Analysis of Variance
  • 8.1 Introduction
  • 8.2 The Completely Randomized Design
  • 8.3 The Randomized Complete Block Design
  • 8.4 The Repeated Measures Design
  • 8.5 The Factorial Experiment
  • 8.6 Summary
  • Summary of Formulas for Chapter 8
  • Review Questions and Exercises
  • References
• 9 Simple Linear Regression and Correlation
  • 9.1 Introduction
  • 9.2 The Regression Model
  • 9.3 The Sample Regression Equation
  • 9.4 Evaluating the Regression Equation
  • 9.5 Using the Regression Equation
  • 9.6 The Correlation Model
  • 9.7 The Correlation Coefficient
  • 9.8 Some Precautions
  • 9.9 Summary
  • Summary of Formulas for Chapter 9
  • Review Questions and Exercises
  • References
• 10 Multiple Regression and Correlation
  • 10.1 Introduction
  • 10.2 The Multiple Linear Regression Model
  • 10.3 Obtaining the Multiple Regression Equation
  • 10.4 Evaluating the Multiple Regression Equation
  • 10.5 Using the Multiple Regression Equation
  • 10.6 The Multiple Correlation Model
  • 10.7 Summary
  • Summary of Formulas for Chapter 10
  • Review Questions and Exercises
  • References
• 11 Regression Analysis: Some Additional Techniques
  • 11.1 Introduction
  • 11.2 Qualitative Independent Variables
  • 11.3 Variable Selection Procedures
  • 11.4 Logistic Regression
  • 11.5 Poisson Regression
  • 11.6 Summary
  • Summary of Formulas for Chapter 11
  • Review Questions and Exercises
  • References
• 12 The Chi‐Square Distribution and the Analysis of Frequencies
  • 12.1 Introduction
  • 12.2 The Mathematical Properties of the Chi‐Square Distribution
  • 12.3 Tests of Goodness‐of‐Fit
  • 12.4 Tests of Independence
  • 12.5 Tests of Homogeneity
  • 12.6 The Fisher's Exact Test
  • 12.7 Relative Risk, Odds Ratio, and the Mantel–Haenszel Statistic
  • 12.8 Summary
  • Summary of Formulas for Chapter 12
  • Review Questions and Exercises
  • Exercises for Use with the Large Data Sets Available on the Following Website: www.wiley.com/college/daniel
  • References
• 13 Nonparametric and Distribution-Free Statistics
  • 13.1 Introduction
  • 13.2 Measurement Scales
  • 13.3 The Sign Test
  • 13.4 The Wilcoxon Signed-Rank Test for Location
  • 13.5 The Median Test
  • 13.6 The Mann–Whitney Test
  • 13.7 The Kolmogorov–Smirnov Goodness-of-Fit Test
  • 13.8 The Kruskal–Wallis One-Way Analysis of Variance by Ranks
  • 13.9 The Friedman Two-Way Analysis of Variance by Ranks
  • 13.10 The Spearman Rank Correlation Coefficient
  • 13.11 Nonparametric Regression Analysis
  • 13.12 Summary
  • Summary of Formulas for Chapter 13
  • Review Questions and Exercises
  • References
• 14 Survival Analysis
  • 14.1 Introduction
  • 14.2 Time-to-Event Data and Censoring
  • 14.3 The Kaplan–Meier Procedure
  • 14.4 Comparing Survival Curves
  • 14.5 Cox Regression: The Proportional Hazards Model
  • 14.6 Summary
  • Summary of Formulas for Chapter 14
  • Review Questions and Exercises
  • References
• 15 Vital Statistics
  • 15.1 Introduction
  • 15.2 Death Rates and Ratios
  • 15.3 Measures of Fertility
  • 15.4 Measures of Morbidity
  • 15.5 Summary
  • Summary of Formulas for Chapter 15
  • Review Questions and Exercises
  • References
• Index
• Appendix: Statistical Tables
• Answers to Selected Problems
• End User License Agreement

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