Statistics: A Biomedical Introduction

ISBN-13: 9780470251614 / Angielski / Miękka / 2007 / 482 str.

Myles Hollander; Phillip Brown; Hollander

Opis

The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists. Currently available in the Series:

• T. W. Anderson The Statistical Analysis of Time Series
• T. S. Arthanari & Yadolah Dodge Mathematical Programming in Statistics
• Emil Artin Geometric Algebra
• Norman T. J. Bailey The Elements of Stochastic Processeswith Applications to the Natural Sciences
• Robert G. Bartle The Elements of Integration and Lebesgue Measure
• George E. P. Box & Norman R. Draper Evolutionary Operation: A Statistical Method for Process Improvement
• George E. P. Box & George C. Tiao Bayesian Inference in Statistical Analysis
• R. W. Carter Finite Groups of Lie Type: Conjugacy Classes and Complex Characters
• R. W. Carter Simple Groups of Lie Type
• William G. Cochran & Gertrude M. Cox Experimental Designs, Second Edition
• Richard Courant Differential and Integral Calculus, Volume I
• Richard Courant Differential and Integral Calculus, Volume II
• Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume I
• Richard Courant & D. Hilbert Methods of Mathematical Physics, Volume II
• D. R. Cox Planning of Experiments
• Harold S. M. Coxeter Introduction to Geometry, Second Edition
• Charles W. Curtis & Irving Reiner Representation Theory of Finite Groups andAssociative Algebras
• Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume I
• Charles W. Curtis & Irving Reiner Methods of Representation Theory with Applications to Finite Groups and Orders, Volume II
• Cuthbert Daniel & Fred S. Wood Fitting Equations to Data: Computer Analysis of Multifactor Data, Second Edition
• Bruno de Finetti Theory of Probability, Volume I
• Bruno de Finetti Theory of Probability, Volume II
• Morris H. DeGroot Optimal Statistical Decisions
• W. Edwards Deming Sample Design in Business Research
• Amos de Shalit & Herman Feshbach Theoretical Nuclear Physics, Volume 1--Nuclear Structure
• Harold F. Dodge & Harry G. Romig Sampling Inspection Tables: Single and Double Sampling
• J. L. Doob Stochastic Processes

Spis treści

CHAPTER 1: Introduction 1

CHAPTER 2: Elementary Rules of Probability 13

CHAPTER 3: Populations, Samples, and the Distribution of the Sample Mean 37

1. Populations and Distributions 38

2. Sampling from Finite Populations 64

3. The Distribution of the Sample Mean 72

CHAPTER 4: Analysis of Matched Pairs Using Sample Means 85

1. A Confidence Interval for the Treatment Effect 86

2. A Hypothesis Test for the Treatment Effect 96

3. Determining the Sample Size 102

CHAPTER 5: Analysis of the Two–Sample Location Problem Using Sample Means 109

1. A Confidence Interval for the Difference Between the Population Means 110

2. A Hypothesis Test for the Difference Between the Population Means 116

3. Determining Sample Sizes 119

4. Testing the Assumption of Equal Population Variances 122

CHAPTER 6: Surveys and Experiments in Medical Research 131

Application of Statistics in Laboratory and Clinical Studies 131

Randomized Clinical Experiments 134

Ethics and Statistical Aspects of the Clinical Trial 137

Retrospective Studies, Prospective Studies, and Randomized Clinical Experiments 140

CHAPTER 7: Statistical Inference for Dichotomous Variables 149

A Confidence Interval for a Success Probability p 150

Hypothesis Tests for a Success Probability p 156

CHAPTER 8: Comparing Two Success Probabilities 173

A Confidence Interval for the Difference Between the Success Probabilities 174

A Hypothesis Test for the Difference Between the Success probabilities 178

CHAPTER 9: Chi–Squared Tests 195

The Chi–Squared Test for k Probabilities (Goodness of Fit) 196

r x k Tables: Chi–Squared Tests of Homogeneity and Independence 201

A Test for Trend in Proportions 211

CHAPTER 10: Analysis of & Sample Problems 225

The Completely Randomized Experiment 226

The Randomized Blocks Experiment 241

CHAPTER 11: Linear Regression and Correlation 261

1. Linear Regression 262

2. Correlation 281

3. Rank Correlation 292

CHAPTER 12: Analysis of Matched Pairs Using Ranks 309

1. The Wilcoxon Signed Rank Test 310

2. A Nonparametric Confidence Interval Based on the Signed Rank Test 317

CHAPTER 13: Analysis of the Two–Sample Location Problem Using Ranks 327

1. The Wilcoxon Two–Sample Rank Sum Test 328

2. A Nonparametric Confidence Interval Based on the Rank Sum Test 333

CHAPTER 14: Methods for Censored Data 341

APPENDIX A: Glossary 361

APPENDIX B: Answers to Selected Questions and Solutions to Selected Problems 375

APPENDIX C: Mathematical and Statistical Tables 407

INDEX 451

O autorze

BYRON WILLIAM BROWN JR., PhD, was a professor in and former chair of the Department of Health Policy and Research at Stanford University. For over 30 years, he made significant contributions to the university′s research and teachings on various areas of study such as cancer treatment and the design of clinical trials. Dr. Brown is now deceased.

MYLES HOLLANDER, PhD, is Robert O. Lawton Distinguished Professor of Statistics at Florida State University in Tallahassee. He served as editor of the Theory and Methods Section of the Journal of the American Statistical Association from 1993–96.