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BIOSTATISTICS: AN APPLIED INTRODUCTION FOR THE PUBLIC HEALTH PRACTITIONER is designed to help public health researchers, practitioners, and students understand and apply essential biostatistics concepts. This innovative new text emphasizes real-world public health problems and the research questions they inspire. This text provides a unique introduction to statistical concepts and methods used by working professionals during investigations. Unlike other texts that assume a strong knowledge of mathematics or rely heavily on formulas, BIOSTATISTICS consistently emphasizes the public health context, making even complex material both accessible and relevant. The first chapter introduces common statistical terminology by explaining them in clear language, while subsequent chapters explore the most useful and versatile statistical methods for a variety of public health research questions. For each type of question, the author presents a range of applicable methods, from descriptions of data to simple statistical tests, generalized linear models, and multiple variable regression. The text's step-by-step coverage of fundamental concepts is perfect for students new to the field, but its depth and detail also make it ideal for two-course series in M.P.H. or M.H.A. programs, or for working professionals. Readers at all stages of their professional lives can draw on this invaluable resource to help them interpret and conduct statistical studies and support effective evidence-based practice.
- The How to Use section of the text explains each chapter feature and how they are connected, to create the best user experience and learning resource for a graduate level biostatics course.
- At the end of each chapter a Practice section covers data and concepts. The first portion asks you to create numerical and graphical summaries based on the Public Health Application. This reinforces chapter concepts and Applications of Formula descriptions. The practice section concludes with exercises that involve explaining chapter concepts using brand new and recent public health examples from the literature.
- Student Companion Site provides corresponding codes of all chapter formulas, figures, tables, statistical tests and analyses for the most popular statistical software programs in the industry: SAS, STATA, and R.
- Each chapter opens with a succinct overview of the methods and data to be discussed and their practical applications, enabling you to plan your reading and appreciate its value in terms of your specific interests.
- Summary Tables conclude each chapter by reviewing the methods discussed, offering a convenient reference your student's can use when studying or completing class assignments.
- Public Health Applications create the foundation of each chapter, highlighting excerpts of real-world research in public health that demonstrate practical applications of methods.
- Each chapter includes a detailed example of a public health problem, data related to it, and information on how the data was collected and what variables were measured.
- Public Health Applications inspire the data that is used throughout each chapter for all examples, tables, and figures to provide complete statistical analyses of the chapter's research problem. This approach limits possible confusion of multiple examples and allows students to learn biostatistics' methods and concepts from an example that's referenced throughout the chapter.
- Applications of Formula features in each chapter provide simple, step-by-step explanations of how to apply a particular formula to the data from the chapter example. These practical features help demystify formulas and illustrate their value in a way that is useful whether you have substantial mathematical skill or find advanced computation intimidating.
- Additional information and in-depth coverage of selected topics are available in Concept Extension, a feature which allows students to decide easily whether they want to learn more or focus their attention on other material.
- Each chapter contains Discussion Questions that will provide the opportunity to further explore important topics and relevant information related the professional field of public health.
2. Continuous Data: Making Comparisons.
3. Continuous Data: Correlation and Linear Regression.
4. Categorical Data.
5. Categorical Data: Confounding and Regression.
6. Count Data.
7. Time to Event Data.
Additional Topics Appendix.
A. Longitudinal Data.
B. Clustered Data.
Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.
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