Principles of Biostatistics

Author: MARCELLO. GAUVREAU PAGANO (KIMBERLEE.)
Publisher: CRC Press
ISBN: 9781138593145
Format: PDF, Mobi
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This edition is a reprint of the second edition published in 2000 by Brooks/Cole and then Cengage Learning. Principles of Biostatistics is aimed at students in the biological and health sciences who wish to learn modern research methods. It is based on a required course offered at the Harvard School of Public Health. In addition to these graduate students, many health professionals from the Harvard medical area attend as well. The book is divided into three parts. The first five chapters deal with collections of numbers and ways in which to summarize, explore, and explain them. The next two chapters focus on probability and introduce the tools needed for the subsequent investigation of uncertainty. It is only in the eighth chapter and thereafter that the authors distinguish between populations and samples and begin to investigate the inherent variability introduced by sampling, thus progressing to inference. Postponing the slightly more difficult concepts until a solid foundation has been established makes it easier for the reader to comprehend them. The supplements include a manual for students with solutions for odd-numbered exercises, a manual for instructors with solutions to all exercises, and selected data sets. Marcello Pagano is Professor of Statistical Computing in the Department of Biostatistics at the Harvard School of Public Health. His research in biostatistics is on computer intensive inference and surveillance methods that involve screening methodologies, with their associated laboratory tests, and in obtaining more accurate testing results that use existing technologies. Kimberlee Gauvreau is Associate Professor in the Department of Biostatistics and Associate Professor of Pediatrics at Harvard Medical School. Dr. Gauvreau's research focuses on biostatistical issues arising in the field of pediatric cardiology. She also works on the development and validation of methods of adjustment for case mix complexity.

Principles of Biostatistics

Author: Kimberlee Gauvreau
Publisher: Brooks/Cole
ISBN: 9780534229023
Format: PDF
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This conceptually-based introduction to statistical procedures prepares public health and life sciences students to conduct and evaluate research in the biological and public health sciences. The authors illustrate that statistics is more than just maths - it's a viable field that has hundreds of applications and uses in the real world. The authors rely heavily on the book's graphics and the use of computers to help students make the calculations, giving them more time to concentrate on and learn the concepts.

Introductory Applied Biostatistics

Author: Ralph B. D'Agostino
Publisher: Brooks/Cole Publishing Company
ISBN: 9780534423995
Format: PDF, ePub, Docs
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INTRODUCTORY APPLIED BIOSTATISTICS (WITH CD-ROM) explores statistical applications in the medical and public health fields. Examples drawn directly from the authors' clinical experiences with applied biostatistics make this text both practical and applicable. You'll master application techniques by hand before moving on to computer applications, with SAS programming code and output for each technique covered in every chapter. For each topic, the book addresses methodology, including assumptions, statistical formulas, and appropriate interpretation of results. This book is a must-have for every student preparing for a statistical career in a healthcare field!

Biostatistics with R

Author: Babak Shahbaba
Publisher: Springer Science & Business Media
ISBN: 1461413028
Format: PDF, ePub
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Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.

Essential Evidence based Medicine with CD ROM

Author: Dan Mayer
Publisher: Cambridge University Press
ISBN: 9780521712415
Format: PDF, ePub
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Essential Evidence-Based Medicine teaches the principles of research study methodology and design so that the reader can become better at critically analysing scientific and clinical studies. It describes the basic elements needed to understand biostatistics and epidemiology as applied to health care studies, and how to become a more discriminating reader of the medical literature by adopting the skills of critical appraisal. This new edition is extensively edited and updated, and includes two entirely new chapters on critical appraisal of qualitative research and communicating risks and evidence to patients. The text is geared towards the new learner, and assumes little clinical experience, starting with the basic principles of critical appraisal. A CD-ROM accompanies the book to enable students to test their learning through a series of questions, with answers provided. This is an ideal introductory text for medical students, health sciences students and a wide range of other healthcare professionals.

Epidemiology E Book

Author: Leon Gordis
Publisher: Elsevier Health Sciences
ISBN: 1455742511
Format: PDF, ePub, Docs
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Epidemiology, by award-winning educator and epidemiologist Leon Gordis, is a best-selling introduction to this complex science. Dr. Gordis leverages his vast experience teaching this subject in the classroom to introduce the basic principles and concepts of epidemiology in a clear, uniquely memorable way. He guides you from an explanation of the epidemiologic approach to disease and intervention, through the use of epidemiologic principles to identify the causes of disease, to a discussion of how epidemiology should be used to improve evaluation and public policy. It’s your best choice for an accessible yet rich understanding of epidemiology! Gain a solid foundation of basic epidemiologic principles as well as practical applications in public health and clinical practice. Visualize concepts vividly through abundant full-color figures, graphs, and charts. Check your understanding of essential information with 120 multiple-choice epidemiology self-assessment questions. Master the latest nuances in epidemiology thanks to a wealth of new and updated illustrations, examples, and epidemiologic data.

An Introduction to Statistical Methods and Data Analysis

Author: R. Lyman Ott
Publisher: Cengage Learning
ISBN: 1305465520
Format: PDF, Mobi
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Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Primer of Biostatistics Seventh Edition

Author: Stanton Glantz
Publisher: McGraw Hill Professional
ISBN: 0071794409
Format: PDF, Kindle
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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