# Biostatistics: A Foundation for Analysis in the Health Sciences, 10th Edition

# Biostatistics: A Foundation for Analysis in the Health Sciences, 10th Edition

ISBN: 978-1-118-30279-8

Jan 2013

960 pages

## Description

This 10th edition of ** Biostatistics: A Foundation for Analysis in the Health Sciences, 10th Edition** should appeal to the same audience for which the first nine editions were written: advanced undergraduate students, beginning graduate students, and health professionals in need of a reference book on statistical methodology. Like its predecessors, this edition requires few mathematical prerequisites. Only reasonable proficiency in algebra is required for an understanding of the concepts and methods underlying the calculations. The emphasis continues to be on an intuitive understanding of principles rather than an understanding based on mathematical sophistication. For most of the statistical techniques covered in this edition, we discuss the capabilities of one or more software packages (MINITAB, SAS, SPSS, and NCSS) that may be used to perform the calculations needed for their application. Resulting screen displays are also shown.

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**CHAPTER 1: INTRODUCTION TO BIOSTATISTICS**1.1 Introduction

1.2 Some Basic Concepts

1.3 Measurement and Measurement Scales

1.4 Sampling and Statistical Inference

1.5 The Scientific Method and the Design of Experiments

1.6 Computers and Biostatistical Analysis

1.7 Summary

**CHAPTER 2: DESCRIPTIVE STATISTICS**

**2.1 Introduction**

2.2 The Ordered Array

2.3 Grouped Data: The Frequency Distribution

2.4 Descriptive Statistics: Measures of Central Tendency

2.5 Descriptive Statistics: Measures of Dispersion

2.6 Summary

**CHAPTER 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

**CHAPTER 4: PROBABILITY DISTRIBUTIONS**

**4.1 Introduction**

4.2 Probability Distribution 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

**CHAPTER 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 Summary

5.7 Summary

**CHAPTER 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 Confidence Interval for the Variance of a Normally Distributed Population

6.10 Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations

6.11 Summary

**CHAPTER 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

**CHAPTER 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

**CHAPTER 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

**CHAPTER 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

**CHAPTER 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 Summary

**CHAPTER 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 Exact Test

12.7 Relative Risk, Odds Ratio, and the Mantel-Haenszel Statistics

12.8 Summary

**CHAPTER 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

**CHAPTER 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

**CHAPTER 15: VITAL STATISTICS (ONLINE)**

**15.1 Introduction**

15.2 Death Rates and Ratios

15.3 Measures of Fertility

15.4 Measure of Morbidity

15.5 Summary

**APPENDIX: STATISTICAL TABLES**

- ANOVA/Logistic Regression: Chapter 8 has been revised to expand coverage of ANOVA and linear regression, as well as strengthening the ties between it and Chapters 9-11.
- Survival Analysis/Vital Statistics: Survival analysis coverage has been expanded to an entire chapter.
- Solutions: Increased numbers of full write-ups of the results obtained in examples and problems to provide instructors and students with more complete information.
- Online Examples: Online examples using several technologies (SPSS, SAS, MINITAB, R) to show instructors and students how each technology can be used to solve problems.

- Real-world practice through examples and exercises using data from actual research projects and reports.
- Highlighting of main ideas with bulleted objectives at the start of each chapter.
- Screen captures and technology boxes with step-by-step help.