Biostatistics For Population Health A Primer

Written for undergraduate and graduate students with little or no mathematical background, Biostatistics for Population Health: A Primer offers current and future health professionals a clear, and accessible approach to learning the basic tools and techniques necessary to conduct biostatistical analyses and the professional confidence to critically evaluate and interpret biostatistical findings. Each unit begins with a contemporary population health issue (e.g., the opioid crisis, physical inactivity among children, diabetes) and raises questions that require the use of techniques discussed in that unit. Each technique, in turn, is illustrated with realistic, contemporary examples (e.g. vaping) to pique student interest. By the end of the unit, students are encouraged to apply the techniques to address the questions that were raised.

Written for undergraduate and graduate students with little or no mathematical background, Biostatistics for Population Health: A Primer offers current and future health professionals a clear, and accessible approach to learning the basic tools and techniques necessary to conduct biostatistical analyses and the professional confidence to critically evaluate and interpret biostatistical findings. Each unit begins with a contemporary population health issue (e.g., the opioid crisis, physical inactivity among children, diabetes) and raises questions that require the use of techniques discussed in that unit. Each technique, in turn, is illustrated with realistic, contemporary examples (e.g. vaping) to pique student interest. By the end of the unit, students are encouraged to apply the techniques to address the questions that were raised.

Biostatistics and Epidemiology: A Primer for Health Professionals focuses on the underlying framework of the field and offers practical guidelines for research and interpretation. In addition to major sections devoted to statistics and epidemiology, the book includes a comprehensive exploration of the scientific method, probability, and clinical trials. New to the second edition are: -a reorganization of the material -new information on survival analysis such as the Cox proportional hazards model -topics in nonparametric statistics -expanded discussion of probability and its applications in epidemiology -an entirely new chapter on areas relevant to behavioral research and change scores, reliability, validity, and responsiveness -new appendices providing specific and clear instructions on how to carry out several additional statistical calculations and tests Biostatistics and Epidemiology describes principles and methods applicable to medicine, public health, allied health, psychology and education and will be useful not only to physicians doing clinical as well as basic science research, but also to students at undergraduate, graduate and medical school levels.

For the new edition of Biostatistics and Epidemiology, Dr. Wassertheil-Smoller has included several new chapters (genetic statistics, molecular epidemiology, scientific integrity and research ethics) and a new appendix on the basic concepts of genetics and a glossary of genetic terminology. She has also expanded the coverage of multi-center trials (an important aspect of implementation of the standards of evidence-based medicine), controversies in screening for prostate, colon, breast, and other cancers.

A new edition of the comprehensive and practical introduction to managerial epidemiology and population health Managerial Epidemiology for Health Care Organizations has introduced the science of epidemiology and population health to students and practitioners in health management and health services for over sixteen years. The book covers epidemiology basics, introducing principles and traditional uses, and then expertly showing its contemporary uses in planning, evaluating, and managing health care for populations and the practical application in health care management. The book’s practical and applied approach, with real-world examples sprinkled throughout, has made it the go-to book for managerial epidemiology and population health courses. Since the second edition was published in 2005, the health care landscape has undergone significant changes. Passage of the Patient Protection and Affordable Care Act and the incorporation of ICD-10 have impacted the entire health care system. This newly updated third edition will address these two significant changes, as well as several others that have taken place. It also features new chapters on reimbursement approaches and managing infection outbreaks, as well as updates to the four case study chapters that anchor the book. Witness how epidemiological principles are applied to the delivery of health care services and the management of health care organizations Examine the major changes brought on by the passage of health care reform and incorporation of ICD-10 Discover the core epidemiology principles and see how they are applied in planning, evaluating, and managing health care for populations If you’re a student or professional in any area of health services, including health administration, nursing, and allied health, then Managerial Epidemiology for Health Care Organizations is the perfect book for you. It successfully demonstrates how health care executives can incorporate the practice of epidemiology into their various management functions and is rich with current examples, concepts, and case studies that reinforce the essential theories, methods, and applications of managerial epidemiology.

Population health is rapidly becoming an overarching umbrella for connecting the clinical health professions, traditional public health, and health administration and policy. Population Health: A Primer provides an overview of population health including key concepts and approaches needed to build an educational foundation for this rapidly emerging field. The text begins with an overview of population health and why it matters before providing a step-by-step approach to thinking in systems and covering the basic tools of population health. Case studies throughout illustrate the application of approaches for addressing population health issues. A helpful instructor's guide suggests options for using the Primer in short courses, as part of a larger course, or as individual units.

This book teaches foundations of epidemiological design and statistical methods, as well as including topics applicable to new areas of research. Since the publication of the first edition, Biostatistics and Epidemiology has attracted loyal readers from various specialty areas in the biomedical community. The Fifth Edition includes coverage of fixed and random effects and mixed effects models; Poisson regression; constructing confidence intervals for U-shaped relationships; analysis of rare variants; Mendelian randomization; and aspects of machine learning and big data analytics. Biostatistics and Epidemiology was written to be accessible for readers without backgrounds in mathematics. It provides clear explanations of underlying principles, as well as practical guidelines of "how to do it" and "how to interpret it." Key features include a philosophical and logical explanation at the beginning of the book, subsections that can stand alone or serve as reference, cross-referencing, recommended reading, and appendices covering sample calculations for various statistics in the text.

A concise, engagingly written introduction to understanding statistics as they apply to medicine and the life sciences CD-ROM performs 30 statistical tests Don't be afraid of biostatistics anymore! Primer of Biostatistics,7th Edition demystifies this challenging topic in an interesting and enjoyable manner that assumes no prior knowledge of the subject. Faster than you thought possible, you'll understand test selection and be able to evaluate biomedical statistics critically, knowledgeably, and confidently. With Primer of Biostatistics, you’ll start with the basics, including analysis of variance and the t test, then advance to multiple comparison testing, contingency tables, regression, and more. Illustrative examples and challenging problems, culled from the recent biomedical literature, highlight the discussions throughout and help to foster a more intuitive approach to biostatistics. The companion CD-ROM contains everything you need to run thirty statistical tests of your own data. Review questions and summaries in each chapter facilitate the learning process and help you gauge your comprehension. By combining whimsical studies of Martians and other planetary residents with actual papers from the biomedical literature, the author makes the subject fun and engaging. Coverage includes: How to summarize data How to test for differences between groups The t test How to analyze rates and proportions What does “not significant” really mean? Confidence intervals How to test for trends Experiments when each subject receives more than one treatment Alternatives to analysis of variance and the t test based on ranks How to analyze survival data