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Principles of Biostatistics

Principles of Biostatistics Author MARCELLO. GAUVREAU PAGANO (KIMBERLEE.)
ISBN-10 1138593141
Release 2018-02-16
Pages 568
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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

Principles of Biostatistics Author Kimberlee Gauvreau
ISBN-10 0534229026
Release 2000
Pages 525
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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.



Principles of Biostatistics

Principles of Biostatistics Author Marcello Pagano
ISBN-10 0534140696
Release 1993
Pages 524
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Principles of Biostatistics has been writing in one form or another for most of life. You can find so many inspiration from Principles of Biostatistics also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Principles of Biostatistics book for free.



Introductory Applied Biostatistics

Introductory Applied Biostatistics Author Ralph B. D'Agostino
ISBN-10 053442399X
Release 2006
Pages 652
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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

Biostatistics with R Author Babak Shahbaba
ISBN-10 9781461413028
Release 2011-12-15
Pages 352
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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.



Principles Of Biostatistics 2nd Ed

Principles Of Biostatistics 2nd Ed Author Marcello Pagano
ISBN-10 9812435174
Release 2000
Pages 525
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Principles Of Biostatistics 2nd Ed has been writing in one form or another for most of life. You can find so many inspiration from Principles Of Biostatistics 2nd Ed also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Principles Of Biostatistics 2nd Ed book for free.



Epidemiology E Book

Epidemiology E Book Author Leon Gordis
ISBN-10 9781455742516
Release 2013-11-14
Pages 416
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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.



Ethics in Global Health

Ethics in Global Health Author Ruth Macklin
ISBN-10 9780199890453
Release 2012-06-14
Pages 436
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This is a collection of Ruth Macklin's previously published articles on ethics in global health and research. The articles range from a chapter in a book published in 1989 to a journal article currently in press. The essays fall into two broad categories: policy and practice, and multinational research.



Essential Evidence based Medicine with CD ROM

Essential Evidence based Medicine with CD ROM Author Dan Mayer
ISBN-10 0521712416
Release 2009-11-19
Pages 445
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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.



Medical Biostatistics Fourth Edition

Medical Biostatistics  Fourth Edition Author Abhaya Indrayan
ISBN-10 9781351585552
Release 2017-11-27
Pages 720
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Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill gaps in the previous edition. Various topics have been enlarged and modified as per the new understanding of the subject.



Epidemiology

Epidemiology Author Moyses Szklo
ISBN-10 9781449604691
Release 2012-10-24
Pages 515
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This book is specifically designed to expand reader knowledge while avoiding complex statistical formulations. Emphasizing the quantitative issues of epidemiology, this book focuses on study design, measures of association, interaction, research assessment, and other methods and practice. The Second Edition takes readers who have a good understanding of basic epidemiological principles through more rigorous discussions of concepts and methods.



Environmental Science Health Impacts

Environmental Science Health Impacts Author Alan M. Jacobs
ISBN-10 1465206493
Release 2012-08-13
Pages 134
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Environmental Science Health Impacts has been writing in one form or another for most of life. You can find so many inspiration from Environmental Science Health Impacts also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Environmental Science Health Impacts book for free.



Epidemiology in Medicine

Epidemiology in Medicine Author Julie E. Buring
ISBN-10 0316356360
Release 1987
Pages 383
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Harvard Medical School, Boston. Textbook for medical and public health students.



Clinical Epidemiology

Clinical Epidemiology Author R. Brian Haynes
ISBN-10 9781451178791
Release 2012-03-29
Pages 480
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The Third Edition of this popular text focuses on clinical-practice research methods. It is written by clinicians with experience in generating and answering researchable questions about real-world clinical practice and health care—the prevention, treatment, diagnosis, prognosis, and causes of diseases, the measurement of quality of life, and the effects of innovations in health services. The book has a problem-oriented and protocol-based approach and is written at an introductory level, emphasizing key principles and their applications. A bound-in CD-ROM contains the full text of the book to help the reader locate needed information.



Intuitive Biostatistics

Intuitive Biostatistics Author Harvey Motulsky
ISBN-10 9780199946648
Release 2013-12-01
Pages 540
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Thoroughly revised and updated, the third edition of Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking retains and refines the core perspectives of the previous editions: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. With its engaging and conversational tone, this unique book provides a clear introduction to statistics for undergraduate and graduate students in a wide range of fields and also serves as a statistics refresher for working scientists. It is especially useful for those students in health-science related fields who have no background in biostatistics. NEW TO THIS EDITION * A new chapter on the complexities of probability * A new chapter on meta-analysis * A completely rewritten chapter on statistical traps to avoid * More sections on common mistakes in data analysis * More Q&A sections * New topics and examples * New learning tools (each chapter ends with a summary and a list of statistical terms)



An Introduction to Statistical Methods and Data Analysis

An Introduction to Statistical Methods and Data Analysis Author R. Lyman Ott
ISBN-10 9781305465527
Release 2015-05-28
Pages 1296
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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.



The Fundamentals of Modern Statistical Genetics

The Fundamentals of Modern Statistical Genetics Author Nan M. Laird
ISBN-10 1441973389
Release 2010-12-13
Pages 226
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This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.