Prevention Effectiveness: A Guide to Decision Analysis and Economic Evaluation

Prevention Effectiveness: A Guide to Decision Analysis and Economic Evaluation
by Anne C. Haddix, Steven M. Teutsch, Phaedra S. Corso

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As public accountability has increased and resources have become scarcer, public health, like clinical medicine, has been forced to re-examine the benefits and costs of its activities. Decision and economic analysis are basic tools in carrying out that mission. These methods have become standard practice in clinical medicine and health services research. This book , now in its second edition, was written in an effort to apply and adapt that experience with public health situations.
The book was originally written to introduce Centers for Disease Control and Prevention staff to the concepts of decision and economic analysis, to provide guidance on methods to maximize comparability of studios, and to provide access to frequently used reference information. It has been adapted to meet the needs of scientists and managers in state and local health departments and managed care organizations as well as students in schools of public health and clinicians for an introductory text --a text that shows how these methods can be applied in population-based practice, to facilitate better comparability of studies, and to solidify understanding of the scientific basis for use of these tools in decision making. Decision makers will learn how these studies are conducted so they can be critical consumers-- understanding the strengths and limitations- and apply findings to policy and practice.
The second edition updates and expands upon the standard methodology for condcuting prevention effectiveness analyses. Each chapter has been revised or re-written. The chapters on measuring effectiveness, decision analysis, and making information useful for decision makers as well as several appendices are entirely new.

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• Amazon Sales Rank: #38181 in Books
• Published on: 2002-10-24
• Original language: English
• Number of items: 1
• Dimensions: .99" h x 6.54" w x 9.52" l, 1.22 pounds
• Binding: Hardcover
• 288 pages

Statistics for Epidemiology

Statistics for Epidemiology
by Nicholas P. Jewell
(6)

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Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to conduct and interpret such studies, they do need more than an encyclopedia of "recipes."

Statistics for Epidemiology achieves just the right balance between the two approaches, building an intuitive understanding of the methods most important to practitioners and the skills to use them effectively. It develops the techniques for analyzing simple risk factors and disease data, with step-by-step extensions that include the use of binary regression. It covers the logistic regression model in detail and contrasts it with the Cox model for time-to-incidence data. The author uses a few simple case studies to guide readers from elementary analyses to more complex regression modeling. Following these examples through several chapters makes it easy to compare the interpretations that emerge from varying approaches.

Written by one of the top biostatisticians in the field, Statistics for Epidemiology stands apart in its focus on interpretation and in the depth of understanding it provides. It lays the groundwork that all public health professionals, epidemiologists, and biostatisticians need to successfully design, conduct, and analyze epidemiological studies.

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• Amazon Sales Rank: #82813 in Books
• Published on: 2003-08-26
• Original language: English
• Number of items: 1
• Dimensions: 1.39 pounds
• Binding: Hardcover
• 352 pages

Social Epidemiology

Social Epidemiology
by Lisa F. Berkman, Ichiro Kawachi
(4)

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The authors of this groundbreaking text define social epidemiology as the study of the social determinants of health, implying that an important goal of public health is to identify and address factors in the social environment that may be related to health outcomes. In the first systematic account of this field, they focus on the major social variables that influence health, including socioeconomic position, income distribution, race/ethnicity, gender, social networks/social support, social capital and community cohesion, work environment, life transitions, and affective psychological states. Individual chapters describe the conceptualization and measurement of each social variable, as well as the empirical evidence linking them to a broad range of mental, physical, and behavioral health outcomes. The volume draws on the expertise of an internationally renowned group of scholars, representing the diversity of disciplines relevant to this emerging field, from sociology and psychology to physiology and medicine. The approaches covered by the chapters span the range from formulating and testing hypotheses about the links between social conditions and health to designing and implementing interventions and social policies to improve population health. The challenge of persistent social inequalities in health across the globe makes this a timely publication. The book will be an indispensable introduction to the field for students, researchers, practitioners, and policy analysts.

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• Amazon Sales Rank: #167686 in Books
• Published on: 2000-03-15
• Original language: English
• Number of items: 1
• Dimensions: 1.94 pounds
• Binding: Hardcover
• 391 pages

Statistics for Terrified Biologists

Statistics for Terrified Biologists
by Helmut van Emden
(5)

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“We highly recommend it—not just for statistically terrified biology students and faculty, but also for those who are occasionally anxious or uncertain. In addition to being a good starting point to learn statistics, it is a useful place to return to refresh your memory.” –The Quarterly Review of Biology, March 2009

"During the entire course of my Ph.D. I've been (embarrasingly) looking for a way to teach myself the fundamentals of statistical analysis. At this point in my education, I've come to realize that often times, simply knowing the basics is enough for you to properly apply even the most complex analytical methods. ‘Statistics for Terrified Biologists’ has been just such a book - it was more than worth the $40 I spent on it, and while my 'book clubs' aren't meant to be reviews, I highly recommend the book to anyone who's in a similar predicament to my own." –Carlo Artieri's Blog Book Club

The typical biology student is “hardwired” to be wary of any tasks involving the application of mathematics and statistical analyses, but the plain fact is much of biology requires interpretation of experimental data through the use of statistical methods.

This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists draws on the author’s 30 years of lecturing experience. One of the foremost entomologists of his generation, van Emden has an extensive track record for successfully teaching statistical methods to even the most guarded of biology students.

For the first time basic methods are presented using straightforward, jargon-free language. Students are taught to use simple formulae accurately to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple illustrations and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities.

Product Details

• Amazon Sales Rank: #38410 in Books
• Published on: 2008-05-06
• Original language: English
• Number of items: 1
• Dimensions: .77" h x 6.39" w x 9.19" l, 1.20 pounds
• Binding: Paperback
• 360 pages

Methods in Social Epidemiology (Public Health/Epidemiology and Biostatistics)

Methods in Social Epidemiology (Public Health/Epidemiology and Biostatistics)
by J. Michael Oakes, Jay S. Kaufman

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Social epidemiology is the study of how social interactions—social norms, laws, institutions, conventia, social conditions and behavior—affect the health of populations. This practical, comprehensive introduction to methods in social epidemiology is written by experts in the field. It is perfectly timed for the growth in interest among those in public health, community health, preventive medicine, sociology, political science, social work, and other areas of social research.

Topics covered are:

• Introduction: Advancing Methods in Social Epidemiology
• The History of Methods of Social Epidemilogy to 1965
• Indicators of Socioeconomic Position
• Measuring and Analyzing 'Race'
• Racism and Racial Discrimination
• Measuring Poverty
• Measuring Health Inequalities
• A Conceptual Framework for Measuring Segregation and its Association with Population Outcomes
• Measures of Residential Community Contexts
• Using Census Data to Approximate Neighborhood Effects
• Community-based Participatory Research: Rationale and Relevance for Social Epidemiology
• Network Methods in Social Epidemiology
• Identifying Social Interactions: A Review, Multilevel Studies
• Experimental Social Epidemiology: Controlled Community Trials
• Propensity Score Matching Methods for Social Epidemiology
• Natural Experiments and Instrumental Variable Analyses in Social Epidemiology
• and Using Causal Diagrams to Understand Common Problems in Social Epidemiology.

"Publication of this highly informative textbook clearly reflects the coming of age of many social epidemiology methods, the importance of which rests on their potential contribution to significantly improving the effectiveness of the population-based approach to prevention. This book should be of great interest not only to more advanced epidemiology students but also to epidemiologists in general, particularly those concerned with health policy and the translation of epidemiologic findings into public health practice. The cause of achieving a ‘more complete’ epidemiology envisaged by the editors has been significantly advanced by this excellent textbook."
—Moyses Szklo, professor of epidemiology and editor-in-chief, American Journal of Epidemiology, Johns Hopkins University

"Social epidemiology is a comparatively new field of inquiry that seeks to describe and explain the social and geographic distribution of health and of the determinants of health. This book considers the major methodological challenges facing this important field. Its chapters, written by experts in a variety of disciplines, are most often authoritative, typically provocative, and often debatable, but always worth reading."
—Stephen W. Raudenbush, Lewis-Sebring Distinguished Service Professor, Department of Sociology, University of Chicago

"The roadmap for a new generation of social epidemiologists. The publication of this treatise is a significant event in the history of the discipline."
—Ichiro Kawachi, professor of social epidemiology, Department of Society, Human Development, and Health, Harvard University

"Methods in Social Epidemiology not only illuminates the difficult questions that future generations of social epidemiologists must ask, it also identifies the paths they must boldly travel in the pursuit of answers, if this exciting interdisciplinary science is to realize its full potential. This beautifully edited volume appears at just the right moment to exert a profound influence on the field."
—Sherman A. James, Susan B. King Professor of Public Policy Studies, professor of Community and Family Medicine, professor of African-American Studies, Duke University

Product Details

• Amazon Sales Rank: #122661 in Books
• Published on: 2006-05-19
• Original language: English
• Number of items: 1
• Dimensions: 9.61" h x 1.52" w x 7.34" l, 2.18 pounds
• Binding: Hardcover
• 504 pages

Basic & Clinical Biostatistics (LANGE Basic Science)

Basic & Clinical Biostatistics (LANGE Basic Science)
by Beth Dawson, Robert Trapp
(22)

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A Doody's Core Title for 2011!

A comprehensive user-friendly introduction to biostatistics and epidemiology applied to medicine, clinical practice, and research. Features “Presenting Problems” (case studies) drawn from studies published in the medical literature, end-of-chapter, and a CD-ROM with data sets and statistical software programs.

Product Details

• Amazon Sales Rank: #27515 in Books
• Published on: 2004-04-02
• Original language: English
• Number of items: 1
• Dimensions: .74" h x 7.40" w x 9.26" l, 1.48 pounds
• Binding: Paperback
• 416 pages

Modern Epidemiology

Modern Epidemiology
by Kenneth J. Rothman, Sander Greenland, Timothy L. Lash
(11)

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The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with sixteen additional contributors, this Third Edition is the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, such as basic measures of disease frequency and associations, study design,field methods, threats to validity, and assessing precision. It also covers advanced topics in data analysis such as Bayesian analysis, bias analysis, and hierarchical regression. Chapters examine specific areas of research such as disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, and clinical epidemiology.

Product Details

• Amazon Sales Rank: #31735 in Books
• Published on: 2008-03-14
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 851 pages

Evolution and the Theory of Games

Evolution and the Theory of Games
by John Maynard Smith
(2)

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Professor John Maynard Smith has written an account of a new way of thinking about evolution which has been developed in the last ten years. The theory of games, first developed to analyse economic behaviour, is modified so that it can be applied to evolving populations. John Maynard Smith's concept of an evolutionarily stable strategy is relevant whenever the best thing for an animal or plant to do depends on what others are doing. The theory leads to testable predictions about the evolution of behaviour, of sex and genetic systems, and of growth and life history patterns. This book contains the first full account of the theory, and of the data relevant to it. The account is aimed at senior undergraduate and graduate students, teachers and research workers in animal behaviour, population genetics and evolutionary biology. The book will also be of interest to mathematicians and game theorists; the mathematics has been largely confined to appendixes so that the main text may be easily followed by biologists.

Product Details

• Amazon Sales Rank: #719018 in Books
• Published on: 1982-12-30
• Original language: English
• Number of items: 1
• Dimensions: .51" h x 5.68" w x 8.45" l, .72 pounds
• Binding: Paperback
• 226 pages

Statistical Methods for Microarray Data Analysis (Methods in Molecular Biology)

Statistical Methods for Microarray Data Analysis (Methods in Molecular Biology)
by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile
Publication Date: July 31, 2012

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The modern state of the art in methodology of microarray data analysis based on significance testing is far from satisfactory. However "hot" this methodological research trend has been, it is still in its infancy and a real revolution in the field definitely lies ahead. In particular, the basic statistical problems will remain the same even after new digital technologies produced by Solexa and some other companies have become widely available. This volume "Statistical Methods for Microarray Data Analysis" will include selected papers on this subject that meet a high standard of mathematical rigor.

Product Details

• Amazon Sales Rank: #218845 in Books
• Published on: 2012-07-31
• Original language: English
• Number of items: 1
• Dimensions: .0" h x .0" w x .0" l, .0 pounds
• Binding: Hardcover
• 300 pages

Risk Society: Towards a New Modernity (Published in association with Theory, Culture & Society)

Risk Society: Towards a New Modernity (Published in association with Theory, Culture & Society)
by Ulrich Beck
(2)

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This panoramic analysis of the condition of Western societies has been hailed as a classic. This first English edition has taken its place as a core text of contemporary sociology alongside earlier typifications of society as postindustrial and current debates about the social dimensions of the postmodern.

Underpinning the analysis is the notion of the `risk society'. The changing nature of society's relation to production and distribution is related to the environmental impact as a totalizing, globalizing economy based on scientific and technical knowledge becomes more central to social organization and social conflict.

Product Details

• Amazon Sales Rank: #351366 in Books
• Published on: 1992-09-03
• Original language: English
• Number of items: 1
• Binding: Paperback
• 272 pages

Essentials of Epidemiology in Public Health, Second Edition

Essentials of Epidemiology in Public Health, Second Edition
by Ann Aschengrau, George R. Seage
(16)

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Successfully tested in the authors' courses at Boston University and Harvard University, this text combines theory and practice in presenting traditional and new epidemiologic concepts. Broad in scope, the text opens with five chapters covering the basic epidemiologic concepts and data sources. A major emphasis is placed on study design, with separate chapters devoted to each of the three main analytic designs: experimental, cohort, and case-control studies. Full chapters on bias, confounding, and random error, including the role of statistics in epidemiology, ensure that students are well-equipped with the necessary information to interpret the results of epidemiologic studies. An entire chapter is also devoted to the concept of effect measure modification, an often-neglected topic in introductory textbooks. Up-to-date examples from the epidemiologic literature on diseases of public health importance are provided throughout the book. The second edition has been thoroughly revised with up-to-date examples and data from epidemiologic literature and features over 100 new study questions.

Product Details

• Amazon Sales Rank: #38895 in Books
• Published on: 2007-06-08
• Original language: English
• Number of items: 1
• Dimensions: 1.00" h x 6.06" w x 8.96" l, 1.57 pounds
• Binding: Paperback
• 516 pages

Logistic Regression: A Self-Learning Text (Statistics for Biology and Health)

Logistic Regression: A Self-Learning Text (Statistics for Biology and Health)
by David G. Kleinbaum, Mitchel Klein
(11)

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This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams. Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses. The new chapters are: Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing, assessing Goodness to Fit for Logistic Regression, assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves. The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text.

Product Details

• Amazon Sales Rank: #187472 in Books
• Published on: 2010-07-01
• Original language: English
• Number of items: 1
• Dimensions: 1.50" h x 10.00" w x 7.01" l, 3.21 pounds
• Binding: Hardcover
• 630 pages

High-Yield™ Biostatistics (High-Yield Series)

High-Yield™ Biostatistics (High-Yield Series)
by Anthony N. Glaser
(16)

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High-Yield™ Biostatistics, Third Edition provides a concise review of the biostatistics concepts that are tested in the USMLE Step 1. Information is presented in an easy-to-follow format, with High-Yield Points that help students focus on the most important USMLE Step 1 facts. Each chapter includes review questions, and an appendix provides answers with explanations.

This updated edition includes additional information on epidemiology/public health. The improved, more readable format features briefer, bulleted paragraphs, more High-Yield Points, and boldfaced terms.

Product Details

• Amazon Sales Rank: #25755 in Books
• Published on: 2004-12-22
• Original language: English
• Number of items: 1
• Dimensions: 9.75" h x 7.00" w x .25" l, .49 pounds
• Binding: Paperback
• 128 pages

Designing Clinical Research

Designing Clinical Research
by Stephen B. Hulley
(22)
Publication Date: May 2012

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Designing Clinical Research sets the standard for providing a practical guide to planning, tabulating, formulating, and implementing clinical research, with an easy-to-read, uncomplicated presentation. This edition incorporates current research methodology—including molecular and genetic clinical research—and offers an updated syllabus for conducting a clinical research workshop.

Emphasis is on common sense as the main ingredient of good science. The book explains how to choose well-focused research questions and details the steps through all the elements of study design, data collection, quality assurance, and basic grant-writing. All chapters have been thoroughly revised, updated, and made more user-friendly.

Product Details

• Amazon Sales Rank: #90703 in Books
• Published on: 2012-05
• Original language: English
• Binding: Paperback

Vorkurs Mathematik: Arbeitsbuch zum Studienbeginn in Bachelor-Studiengangen (EMIL@A-stat) (German Edition)

Vorkurs Mathematik: Arbeitsbuch zum Studienbeginn in Bachelor-Studiengangen (EMIL@A-stat) (German Edition)
by Erhard Cramer, Johanna Neslehova
Publication Date: March 28, 2012

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Das Arbeitsbuch dient der Erarbeitung der mathematischen Grundlagen zum Studienbeginn. Der Stoff ist systematisch aufbereitet und kann anhand einer Fülle von Anwendungsbeispielen und Aufgaben aus dem Umfeld der angewandten Statistik eingeübt werden. Behandelt werden: Grundbegriffe und Symbolik, Mengenlehre, Bruch- und Potenzrechnung, Summen- und Produktzeichen, Funktionen, Folgen, Reihen, Gleichungen, Ungleichungen, Grenzwerte, Differential- und Integralrechnung, Optimierung. Weitere Materialien stehen auf www.vorkurs-mathematik.de zur Verfügung.

Product Details

• Amazon Sales Rank: #2607907 in Books
• Published on: 2012-03-28
• Original language: German
• Binding: Paperback
• 479 pages

How to Report Statistics in Medicine: Annotated Guidelines for Authors, Editors, and Reviewers

How to Report Statistics in Medicine: Annotated Guidelines for Authors, Editors, and Reviewers
by Thomas A. Lang, Michelle Secic
(11)

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How to Report Statistics in Medicine presents a comprehensive and comprehensible set of guidelines for reporting the statistical analyses and research designs and activities commonly used in biomedical research. Containing elements of a reference book, a style manual, a dictionary, an encyclopedia, and a text book, it is the standard guide in the fields of medical writing, scientific publications, and evidence-based medicine throughout the world. Features: Specific, detailed guidelines for reporting and interpreting statistics and research designs and activities in biomedical science. Sample presentations that guide you in reporting statistics correctly and completely. Coverage of current and emerging topics in statistics and trial design. Written by a senior medical writer and a senior biostatistician, the text is both clear and accurate, and the information is complete and pragmatic. Designed for anyone who needs to interpret or report statistics in medicine.

Product Details

• Amazon Sales Rank: #122120 in Books
• Published on: 2006-08-30
• Released on: 2006-12-30
• Original language: English
• Number of items: 1
• Dimensions: 1.08" h x 7.08" w x 10.02" l, 2.28 pounds
• Binding: Paperback
• 490 pages

Epidemiology: An Introduction

Epidemiology: An Introduction
by Kenneth J. Rothman
(18)

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In the past thirty years epidemiology has matured from a fledgling scientific field into a vibrant discipline that brings together the biological and social sciences, and in doing so draws upon disciplines ranging from statistics and survey sampling to the philosophy of science. These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought.

Product Details

• Amazon Sales Rank: #31039 in Books
• Published on: 2002-02-07
• Original language: English
• Number of items: 1
• Binding: Paperback
• 240 pages

Bayesian Biostatistics (Statistics in Practice)

Bayesian Biostatistics (Statistics in Practice)
by Emmanuel Lesaffre, Andrew B. Lawson
Publication Date: July 31, 2012

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The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets.

Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials.

Key Features:

• Provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementation, with an emphasis on healthcare techniques.
• Contains introductory explanations of Bayesian principles common to all areas of application.
• Presents clear and concise examples in biostatistics applications such as clinical trials, longitudinal studies, bioassay, survival, image analysis and bioinformatics.
• Illustrated throughout with examples using software including WinBUGS, OpenBUGS, SAS and various dedicated R programs.
• Highlights the differences between the Bayesian and classical approaches.
• Supported by an accompanying website hosting free software and case study guides.

Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful.

Product Details

• Amazon Sales Rank: #952428 in Books
• Published on: 2012-07-31
• Original language: English
• Binding: Hardcover
• 536 pages

A Beginner's Guide to R (Use R!)

A Beginner's Guide to R (Use R!)
by Alain F. Zuur, Elena N. Ieno, Erik Meesters
(10)

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Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R. “Its biggest advantage is that it aims only to teach R...It organizes R commands very efficiently, with much teaching guidance included. I would describe this book as being handy--it’s the kind of book that you want to keep in your jacket pocket or backpack all the time, ready for use, like a Swiss Army knife.” (Loveday Conquest, University of Washington) “Whilst several books focus on learning statistics in R..., the authors of this book fill a gap in the market by focusing on learning R whilst almost completely avoiding any statistical jargon...The fact that the authors have very extensive experience of teaching R to absolute beginners shines throughout.” (Mark Mainwaring, Lancaster University) “Exactly what is needed...This is great, nice work. I love the ecological/biological examples; they will be an enormous help.” (Andrew J. Tyne, University of Nebraska-Lincoln)

Product Details

• Amazon Sales Rank: #37986 in Books
• Published on: 2009-07-01
• Original language: English
• Number of items: 1
• Binding: Paperback
• 236 pages