Today, mathematics, biology, medicine, and statistics are closing the interdisciplinary gap in an unprecedented way and many of the important unanswered questions now emerge at the interface of these disciplines. Now in its Second Edition, this user-friendly guide on biostatistics focuses on the proper use and interpretation of statistical methods. This textbook does not require extensive background in mathematics, making it user-friendly for all students in the public health sciences field. Instead of highlighting derivations of formulas, the authors provide rationales for the formulas, allowing students to grasp a better understanding of the link between biology and statistics. The material on life tables and survival analysis allows students to better understand the recent literature in the health field, particularly in the study of chronic disease treatment. Biostatistics now includes a companion website to demonstrate the different applications of computer packages for performing the various analyses presented in this text.

Key Features

* Includes access to a companion website with further examples and a full explanation of computer packages * Over 40% new material with modern real-life examples, exercises and references * New chapters on Logistic Regression; Analysis of Survey Data; and Study Designs * Introduces strategies for analyzing complex sample survey data * Written in a conversational style more accessible to students with real data


Students in the health sciences, public health professionals, practitioners.

Table of Contents

1. INTRODUCTION 1.1 What is Biostatistics? 1.2 Data – The Key Component of a Study 1.3 Design – The Road to Relevant Data 1.4 Replication – Part of the Scientific Method 1.5 Applying Statistical Methods Concluding Remarks Exercises References 2. DATA AND NUMBERS 2.1 Data: Numerical Representation 2.2 Observations and Variables 2.3 Scales Used with Variables 2.4 Reliability and Validity 2.5 Randomized Response Technique 2.6 Common Data Problems Concluding Remarks Exercises References 3. DESCRIPTIVE METHODS 3.1 Introduction to Descriptive Methods 3.2 Tabular and Graphic Presentation of Data 3.2.1 Frequency Tables 3.2.2 Line Graphs 3.2.3 Bar Charts 3.2.4 Histograms 3.2.5 Stem-and-Leaf Plots 3.2.6 Dot Plots 3.2.7 Scatter Plots 3.3 Measures of Central Tendency 3.3.1 Mean, Median, and Mode 3.3.2 Use of the Measures of Central Tendency 3.3.3 The Geometric Mean 3.4 Measures of Variability 3.4.1 Ranges and Percentiles 3.4.2 Box Plots 3.4.3 Variance and Standard Deviation 3.5 Rates and Ratios 3.5.1 Crude and Specific Rates 3.5.2 Adjusted Rates 3.6 Measures of Change Over Time 3.6.1 Linear Growth 3.6.2 Geometric Growth 3.6.3 Exponential Growth 3.7 Correlation Coefficients 3.7.1 Pearson Correlation Coefficient 3.7.2 Spearm


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© 2007
Academic Press
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About the authors

Mike Hernandez

Mike Hernandez has been working as a statistical analyst in the Department of Biostatistics at the MD Anderson Cancer Center for over 10 years. Working in a large medical center, he has developed an expertise in doing collaborative research spanning several disciplines from health disparities to clinical trials. He has coauthored over 40 peer-reviewed manuscripts, and is a co-author of: Biostatistics: A Guide to Design, Analysis, and Discovery 2nd ed.


"This book succeeds in all aspects: It is clearly written, it has excellent coverage of the fundamentals of statistical methodology...and it is informative through its novel statistical presentation...." - Journal of the American Statistical Association