Book Description
This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.
Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.
The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided. For many students and researchers learning to use these methods, this one book may be all they need to conduct and interpret multipredictor regression analyses.
The authors are on the faculty in the Division of Biostatistics, Department of Epidemiology and Biostatistics, University of California, San Francisco, and are authors or co-authors of more than 200 methodological as well as applied papers in the biological and biomedical sciences. The senior author, Charles E. McCulloch, is head of the Division and author of Generalized Linear Mixed Models (2003), Generalized, Linear, and Mixed Models (2000), and Variance Components (1992).
From the reviews:
"This book provides a unified introduction to the regression methods listed in the title...The methods are well illustrated by data drawn from medical studies...A real strength of this book is the careful discussion of issues common to all of the multipredictor methods covered."
Journal of Biopharmaceutical Statistics, 2005
"This book is not just for biostatisticians. It is, in fact, a very good, and relatively nonmathematical, overview of multipredictor regression models. Although the examples are biologically oriented, they are generally easy to understand and follow...I heartily recommend the book"
Technometrics, February 2006
"Overall, the text provides an overview of regression methods that is particularly strong in its breadth of coverage and emphasis on insight in place of mathematical detail. As intended, this well-unified approach should appeal to students who learn conceptually and verbally."
Journal of the American Statistical Association, March 2006
Customer Reviews:
very good book, compact but comprehensive.......2007-05-12
This book covers a wide range of topics in Biostatistics, in a comprehensive, but not overwhelming way. In my opinion this book has the potential of being useful to a broad audience, from Statisticians to other professionals who do health related research.
Excellent book ..........2007-01-09
A very specific book, with a lot of details for a statistitian
Book Description
Designed to provide a nonmathematical introduction to biostatistics for medical and health science students, graduate students in the biological sciences, physicians, and researchers, this text explains statistical principles in non-technical language and focuses on explaining the proper scientific interpretation of statistical tests rather than on the mathematical logic of the tests themselves. Intuitive Biostatistics covers all the topics typically found in an introductory statistics text, but with the emphasis on confidence intervals rather than P values, making it easier for students to understand both. Additionally, it introduces a broad range of topics left out of most other introductory texts but used frequently in biomedical publications, including survival curves. multiple comparisons, sensitivity and specificity of lab tests, Bayesian thinking, lod scores, and logistic, proportional hazards and nonlinear regression. By emphasizing interpretation rather than calculation, this text provides a clear and virtually painless introduction to statistical principles for those students who will need to use statistics constantly in their work. In addition, its practical approach enables readers to understand the statistical results published in biological and medical journals.
Customer Reviews:
Deceptive.......2007-08-10
If you think you can learn Statistics intuitively and without mathematics or in otherwords the easy way, I have an intuitive Brain Surgery book for sale.
An original approach. An excellent book on the subject........2007-06-13
The majority of reviewers really liked this book. I can see why, I did too. The author uses a unique approach to teaching statistics that is focused on calculating and explaining Confidence Intervals (the minimum and maximum value you expect an outcome to be given a confidence level typically 95%) rather than P values (probability outcome is due to chance). He also uses common sense and clearly distinguishes between what is statistically significant and what is "significant." Thus, he translates well statistical mumbo jumbo into plain English. He tells you what you should care about and look for.
He shares with you all the statistical flaws that clinical studies may have including testing multiple hypothesis to come up with just a single statistically meaningful one, using large samples to prove something trivial, using small samples that raises uncertainty level, etc...
His section on Bayesian Logic is excellent. His table on what test or methodology to use given the shape of the data and objective you have is worth the price of the book alone. That's one of the clearest taxonomy of statistical methods I have seen anywhere.
Some knowledgeable reviewers have picked up a few errors the author made. I stumbled upon a couple while attempting to replicate the calculation of a few examples. I emailed the author and each time within an hour he either clarified the calculation or corrected the typo that was present in the book. Given his prompt answers, I can't ding him for the couple of typos I caught.
Although the author presents this book as an introductory one, I recommend the reader acquires a good foundation in basic statistics before studying this book. Forgotten Statistics would fit that bill. Indeed, `Intuitive Biostatistics' covers a huge amount of ground. It is far more than an introductory text. It covers material that is pretty advanced including nonparametric hypothesis tests, non linear regression, logistic regression, Bayesian analysis, etc... If it is the first time you come across that stuff you'd be well served having a solid stats foundation. Given that, this book has a lot to offer. I'll keep it as a great reference for years.
Hey, I got an A in Biostats I.......2007-01-04
I am not a high faltuin' math person, the calculus I went through in undergrad was a struggle and I remember very little. I am a chemist by training, currently seeking my PhD in Public Health while working full time. What that came down to was little to no time to doof around with a muddled textbook or an equally muddled professor or a non-English speaking Teacher's Assistant.
I have no intention of becoming a biostatistician or an epidemiologist, I am interested in policy.
So coming from that perspective, as a student, this book was an absolute God-send.
Not only did I get an A in the class, but I feel like I have a sturdy foundation for my future coursework and career. I will not be intimidated by numbers or jargon because Dr. Motulsky made it all as straightforward and clear as possible, and I recall even laughing a few times.
Overall, if you are in school, facing a biostatics class with extreme trepidation, buy this book as a supplement. Look up the topics in the index as you go and you will have more than the $40 worth of "eureka" moments.
YES! I could speak and ask questions at journal club without looking like a fool........2006-09-25
Helped me from looking a fool during residency. Thank you Harvey!
Excellent Statistics Book.......2006-03-13
Intuitive Biostatistics takes a confidence interval approach that should be required reading for all persons interested in statistics. His discussion of basic statistical concepts in the context of interpreting lab test results is clear and informative and introduces the reader to Bayesian concepts that are presented very simply.
Book Description
Meta-analysis, decision analysis, and cost-effectiveness analysis are the cornerstones of evidence-based medicine. These related quantitative methods have become essential tools in the formulation of clinical and public policy based on the synthesis of evidence. All three methods are taught with increasing frequency in medical schools and schools of public health and in health policy courses at the undergraduate and graduate level. This book is a lucid introduction, and will serve the needs of students taking introductory courses that cover these topics. It will also be useful to clinicians and policymakers who need to understand the quantitative underpinnings of the methods in order to best apply the information that derives from them. The second edition of this popular book adds new material on cumulative meta-analysis as a method to explore heterogeneity. The coverage of cost-effectiveness analysis has been brought into close alignment with recommendations of the U.S. Public Health Panel on Cost-Effectiveness Analysis in Health and Medicine. Many of the examples have been replaced with more current examples, and all of the material has been updated to reflect recent advances in the methods and the emergence of consensus about some previously controversial issues. analysis. These three closely related methods have become even more important for synthesizing research since the first edition was published in 1994. And they have gained legitimacy as tools for guiding health policy.
Customer Reviews:
Best guide for analysis.......2006-12-20
There are several ways to do analysis of the health care industry but this book covers the big three. Cost Effectiveness is the most useful from a business standpoint. This book covers the math and theory behind each of these methods and gives strong arguments for how to write in each of them. As a health and pharmaceutical economist I found this book to be invaluable. It is written very clearly and helps sort through many of the issues especially meta analysis. If you are starting out in the health analyst field this is a must read and a book you will want to have handy at all times.
An excellent introductory text.......2002-02-05
Meta-analysis, as both an applied and theoretical science, continues to develop from its rather humble beginnings. Since most physicians lack a strong background in quantitative science, rigorous statistical approaches to clinical decision making have been slow to gain widespread support. Despite its limitations, meta-analysis is proving to be an important vehicle for making sense of the increasingly overwhelming amount of published data in the biomedical sciences. Petitti's book goes a long way in demystifying meta-analysis for the rank and file and also serves as an excellent introduction to the field for the more statistically literate.
Most of my own work is in meta-analysis and I bought the book exclusively for this content and not information on decision analysis and cost-effectiveness analysis. I do not mean to minimize the importance of the latter but rather point out my own narrow interest in the Petitti text.
The book is well written and concise. Petitti "cuts to the chase" explaining the theory underlying meta-analytic methods and provides many useful examples from the medical literature. The text is easy to follow, understandable and well balanced. A thorough reading should leave the reader well prepared for further exploration of applied meta-analysis as well as capable of articulating its strengths, weaknesses and future direction.
Overall, Petitti's text is an excellent place to start for those interested in learning the fundamentals of "research synthesis". The book is also an extremely handy references for the more experienced practitioner. I highly recommend it.
clearest yet description this topic.......1997-07-08
In a forest of mirky and arcane descriptions of a field that has come to dominate medical research and policy making, this book stands out for its clarity. Dr. Petitti speaks a language that normal people can understand. She avoids jargon and frequently uses quantitative examples that make it easy to plug in your own problems and directly apply her lessons to your tasks. This is easily the best book in print on this topic
Book Description
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.
Customer Reviews:
Very Good .......2007-03-23
This book was good for me, give you the best about clinical research from A to Z, very simple, up to the point
Needed for Class.......2006-07-01
This is a really great book. It is well written and seems easy to follow. IT was required for my Intro to Research class. It will be helpful as well in the development of my capstone/research project for graduaiton.
IT HAS A REFINED ANALYTICAL APPROACH.......2003-01-30
"Designing Clinical Research: An Epidermiologic Approach" did a thorough analysis of various methodologies, which medical scientists could use in everyday research. It, first of all, outlined all the essential steps (used in epidemiological research), before delving into the analysis of each step. Its information is current and versatile. But, certain important issues like research-funding and statistics received less than expected attention. Despite this flaw, I would still recommend this book to scientists. Its pros did exceed its cons by a mile.
excessively convenience-oriented book.......2002-05-25
On the whole this book is an excellent work.
But there is some possibility of fostering illusions in many readers' mind that they actually have great power of research in spite of not having good understanding on basic principles such as statistics.
It is not sufficiently equipped for graduate student or researcher above the level.
THIS IS A MUST HAVE.......2001-07-07
This is an amazing textbook that is a must have for all healthcare workers or anyone involved or wanting to be involved in clinical research. The test is organized and extremely well written. I use it to teach clinical research design to my students, residents, and fellows. Hats off to Hulley et al on a job well done. It was worth the 13 year wait for the 2nd edition.
Book Description
With meta-analysis methods playing a crucial role in health research in recent years, this important and clearly-written book provides a much-needed survey of the field.
Meta-analysis provides a framework for combining the results of several clinical trials and drawing inferences about the effectiveness of medical treatments. The move towards evidence-based health care and practice is underpinned by the use of meta-analysis. This book:
* Provides a thorough criticism and an up-to-date survey of meta-analysis methods
* Emphasises the practical approach, and illustrates the methods by numerous examples
* Describes the use of Bayesian methods in meta-analysis
* Includes discussion of appropriate software for each analysis
* Includes numerous references to more advanced treatment of specialist topics
* Refers to software code used in the examples available on the authors' Web site
Practising statisticians, statistically-minded clinicians and health research professionals will benefit greatly from the clear presentation and numerous examples. Medical researchers will grasp the basic principles of meta-analysis, and learn how to apply the various methods.
Customer Reviews:
A personal review.......2007-05-13
This book has two big advantages: In my personal view it is written well for someone who has at least some basic statistical understanding and for me there are quite enough practical examples and illustrations of the chosen methodology. The second advantage in my opinion is its wealth of references at the end of every chapter.
Overall it covers almost all of the relevant methods and thus can be considered as a reference for the experienced statistician and as an easily comprehensible introduction to the beginner.
I think to recommend this book warmly to any reader who does not need the theoretical foundations of probability in meta-analysis.
Book Description
This comprehensive resource applies the fundamentals of epidemiology to the study of infectious diseases (ID). In the first section, readers will learn about basic epidemiologic methods for the study of ID plus be introduced to newer techniques like geographical information systems, mathematical modeling, and genetic laboratory tools. In the second section, the book covers major infectious diseases to illustrate both the range of techniques and issues vital to epidemiologists, and to highlight those diseases that have a major impact on health around the world. These include diseases of high mortality and morbidity such as malaria, HIV, STDs, diarrhea, and those with unique epidemiology such as parasitic diseases and Lyme disease.
Customer Reviews:
An excellent, detailed overview for both experts and novices.......2000-11-22
This text is an excellent textbook for both infectious disease professionals and for students of infectious disease epidemiology. Nelson and colleagues cover a range of essential topics from a survey of important historical epidemics to study designs for infectious disease investigations. The first part of the text covers ID epidemiology background and methodology, whereas the second focuses on specific diseases as examples of different transmission modalities. TB, HIV and Influenza are among the pathogens discussed in great detail. Chapters are written by experts in their respective fields, making this textbook not only authoritative, but also up-to-date in scope and content. Many of the authors are affiliated with the Johns Hopkins School of Public Health or the Johns Hopkins School of Medicine. "Infectious Disease Epidemiology" is extremely readable, and serves as an excellent reference tool. I highly recommend it.
Book Description
This valuable text presents methods and techniques for conducting an animal disease surveillance program, and developing an animal health monitoring system. The text is a recipe book for these techniques as it explains modern techniques, while emphasizing the fundamentals and principles of using these techniques
Customer Reviews:
Not bad for a required textbook.......2005-08-04
I am required to have this book for my MVPH. I have (so far) found it easy enough to read. As someone who already works in this field parts of it were a little basic for me and there wasn't enough practical information. On the other hand, if I were new to the discipline I think it would be a useful starting point.
Product Description
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.
Customer Reviews:
Guidelines valuable to everybody.......2007-07-27
I found this book unexpectedly useful, complete and easy to read. It contains the kind of statistical knowledge that medical people do like to see. It is not another textbook that reviews medical statistics. However it provides the clues to understand and classify all these statistical jargon and processes that cause difficulties to eveybody that loves to handle statistics himself.I fully recommend it
Fantastic Reference for Preparing for Peer-Reviewed Manuscript Submissions.......2007-06-27
This is the best reference book I have found on the topic of how to present data for manuscripts to be submitted to peer-reviewed journals. It is easy to use, super easy to understand, and covers all elements of the manuscript preparation process as far as data representation is concerned. I highly recommend it for anyone looking for a book on the subject. It includes many examples of data tables, figures, and even examples of how to write up titles and data descriptions.
Incredibly useful.......2007-02-11
The material is presented in a way that will help medical writers understand clinical trials more fully, and answer questions that come while writing.
Good for beginners .......2005-09-30
I am glad to read this book before I prepared for my statistical clinical studies. This book could give you basic ideas, but you need to discuss with your collegues or use more advanced books to improve further.
Understanding biostatistics without becoming a statistican.......2000-07-20
As a medical writer and editor at The Cleveland Clinic, Thomas A. Lang found that the lack of clear understanding of statistics by non-statisticians affected the clarity of their writing. Physicians had the same problem while writing up their research papers for publication. Lang perceived a need among medical and science writers to understand just enough of biostatistics to make them better writers and editors without becoming statisticians themselves. He devised workshops that were conducted by the American Medical Writers Association which were enormously successful. The logical next step was to write this book based on the valuable teaching experience and feedback he got at those courses. In other words, this is a book that wasn't written in a vacuum but is the result of a perceived need, and the author's experience in meeting that need. Co-author Michelle Secic has also contributed with her expertise, making it a valuable book for people in this field.
Book Description
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
Book Description
This is a rigorous, systematic introduction to the basic concepts and practical tools of epidemiologic research. It is aimed at readers who will be conducting epidemiologic studies themselves or who need a firm grasp of epidemiologic principles in order to interpret and evaluate studies conducted by others. Besides offering clear descriptions of key concepts, the book is rich with examples illustrating how these concepts are applied. Some examples are drawn from classic studies in the field--the work of Snow, Semmelweis, Goldberger, Doll and Hill, and others--while many others concern modern-day epidemiologic studies of problems of current public health importance. Almost every chapter includes a set of exercises (with answers) to help students gain practice in applying new ideas and techniques. The book's chapters are organized around three main themes: general concepts and methods of epidemiology; major study designs; and evaluating policies and programs. Collectively, these topics form the core material for a graduate-level course or course sequence in epidemiologic methods. Both authors are experienced epidemiologic researchers and have won multiple awards for effective teaching.
Customer Reviews:
Epidemiologic Methods.......2005-11-15
This book covers epidemiology beyond the basics. It is at a graduate course level in epidemiology. The book is easy to read for the most part. A general knowledge of biostatistics is helpful. The numerous examples make the concepts easier to understand. There are excercises at the end of every chapter to illustrate the topics further. I recommend the book to anyone who is in interested in an in depth look at epidemiologic methods.
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General
| Biology
| Biological Sciences
| Science
| Subjects
| Books
Epidemiologic Methods: Studying the Occurrence of Illness (Medicine)
Applied Longitudinal Analysis (Wiley Series in Probability and Statistics)
Epidemiology: Beyond the Basics
Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data
Fundamentals of Clinical Trials
Implementing an Electronic Health Record System (Health Informatics)
Handbook of Injury and Violence Prevention
