Book Description
Today, mathematics, biology, medicine, and statistics are closing the interdisciplinary gap in an unprecedented way and many of the important unanswered questions now emerge at the interface of these disciplines. Now in its Second Edition, this user-friendly guide on biostatistics focuses on the proper use and interpretation of statistical methods. This textbook does not require extensive background in mathematics, making it user-friendly for all students in the public health sciences field. Instead of highlighting derivations of formulas, the authors provide rationales for the formulas, allowing students to grasp a better understanding of the link between biology and statistics. The material on life tables and survival analysis allows students to better understand the recent literature in the health field, particularly in the study of chronic disease treatment.
Biostatistics now includes a companion website to demonstrate the different applications of computer packages for performing the various analyses presented in this text.
* Includes access to a companion website with further examples and a full explanation of computer packages
* Over 40% new material with modern real-life examples, exercises and references
* New chapters on Logistic Regression; Analysis of Survey Data; and Study Designs
* Introduces strategies for analyzing complex sample survey data
* Written in a conversational style more accessible to students with real data
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- Medical Uses of Statistics
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Medical Uses of Statistics, Second Edition
Bailar/Mostelle
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Statistics in Medicine, Second Edition
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How to Report Statistics in Medicine: Annotated Guidelines for Authors, Editors, and Reviewers (Medical Writing and Communication) (Medical Writing and ... (Medical Writing and Communication)
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Intuitive Biostatistics
ASIN: 0910133360 |
Book Description
McGill University, Montreal, Canada. New edition of a practical text on the clinical use of statistics in medicine, for physicians and medical students without formal statistics education. Emphasizes explaining the purpose of statistical methods rather than the performance of calculations.
Customer Reviews:
Medical Uses of Statistics.......2000-08-29
I've been writing an overview of bio-statistics and have been immersed in a stack of statistics books and this one is my favorite, from the perspective of a non-statistician. Chapters are well organized and the material is covered thoroughly without bogging down in formulas. Medical professionals will find this to be an excellent resource for understanding the types of statistical methods used and reported in the well known medical journals.
Book Description
Interpreting statistical information and carrying out statistical procedures is an integral part of veterinary and animal science. This successful textbook, now in its second edition and with an accompanying CD, provides the reader with the necessary information to handle numerical data and critically appraise the statistical methodology in the literature in the fields of veterinary and animal science. Written in a non-mathematical way with an emphasis on assimilating underlying concepts and correctly interpreting computer output, it contains numerous worked real examples to help the reader develop an understanding of the procedures.Revised and updated throughout, this new edition of Statistics for Veterinary and Animal Scienceis now accompanied by a CD containing the datasets used in the examples so that the user can work through the procedures;assumes no prior knowledge of statistics;features learning objectives and exercises in every chapter to evaluate progress in understanding;includes helpful flowcharts to provide a guide to the correct analysis of data;contains glossaries of notation and terminology which act as ready reference;indicates the more advanced sections that can be skipped initially without loss of continuity;includes a new chapter in which the fundamental importance of statistics to the practice of evidence-based veterinary medicine is clearly demonstrated and explained;incorporates new material on regression methods such as Poisson regression, regression models for clustered data, Cox proportional hazards regression models for survival data and generalized linear models.Specifically written for veterinary science and animal science students, researchers and practitioners for whom no other suitable text exists.
Customer Reviews:
An outstanding survey.......2007-04-19
Interpreting statistical information is a part of veterinary and animal science: college-level students will find Statistics for Veterinary and Animal Science, 2nd Edition the perfect text for handling and understanding numeral data and statistics in the fields of vet and animal science. You'd expect such a book to be loaded with calculations and math: it's actually written in a non-mathematical way to emphasize underlying concepts and how to interpret computer output, and comes with a cd containing the datasets used in the examples. An outstanding survey which assumes no prior knowledge of statistics, this is a top pick for any college collection strong in veterinary science.
Diane C. Donovan
California Bookwatch
Finally stats for my tiny brain..........2001-01-13
First stats book that I have read that gives me what I need in minutes. It also explains the concepts and functions that I use everyday in a manner understandable for most earthlings.
Thank you.
Book Description
Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context.
* Easy-to-follow format incorporates medical examples, step-by-step methods, and check yourself exercises
* Two-part design features course material and a professional reference section
* Chapter summaries provide a review of formulas, method algorithms, and check lists
* Companion site links to statistical databases that can be downloaded and used to perform the exercises from the book and practice statistical methods
New in this Edition:
* New chapters on: multifactor tests on means of continuous data, equivalence testing, and advanced methods
* New topics include: trial randomization, treatment ethics in medical research, imputation of missing data, and making evidence-based medical decisions
* Updated database coverage and additional exercises
* Expanded coverage of numbers needed to treat and to benefit, and regression analysis including stepwise regression and Cox regression
Thorough discussion on required sample size
Customer Reviews:
Excellent source of information for the non-biostatician.......2003-04-02
Comprehensive, succinct with relevant examples that make the teaching points clear to even a non-biostatician like myself.
I have used this book in helping me to design clinical studies and it was extraordinarily useful! Thank you Dr Riffenburgh.
A very fun book.......2001-11-20
.
What can be said that Dr. Chernik has not already written?
I am learning my statistics for epidemiological purposes and laboratory methods. This book is fun because the descriptions of the tests are succinct and it is replete with examples using medical data. I have been using it as a quick reference for statistical methods that I read about in journal articles, but have not had formal training in or experience with. This book is complementary to by basic stats book. This book is a must for amateur biostatisticians.
new approach to teach stats to health professionals.......2000-09-12
This very recent book is already getting rave reviews from health professionals particularly in the US Navy where Dr. Riffenburgh is known. I recently met Dr. Riffenburgh at an ASA chapter meeting in San Diego and again at the Joint Statistical Meetings in Indianapolis this past August. The Foreword by Vice Admiral Richard Nelson sets the stage for the book and praises Dr. Riffenburgh.
I am a biostatistician working in the medical device industry. Last year I taught an introductory course to health science majors at Cal State Long Beach. Had Dr. Riffenburgh's book been out I may have used it. In the future if I teach the course again before my own book comes out I would use it.
Dr. Riffenburgh has a wealth of experience working on clinical trials and medical problems that require statistical analysis. He has a good fundamental understanding of statistical methods and a sense from his experience as to what topics are important to medical researchers. Although he was not formally trained as a statistician he understands statistical methods and the subtleties of the subject. He is sympathetic to the students who do not have strong math backgrounds and conveys the ideas clearly to them with the aid of several carefully selected data sets.
The book is very unique in that it is constructed to be two books in one. He wants to meet the needs of students who need to understand the basics of biostatistics so that they can appreciate, understand and evaluate the medical literature. Part I, consisting of chapters 1 through 9 is designed for them. The second need is for a reference text for physicians and other medical researchers who will need to use statistical methods in their work and publications. Chapters 10 through 21 are designed for them. As he states in his preface the text is aimed to be a 30/90 book. By this he means that it covers 30% of the statistical methods in common use but based on survey articles of methods used in medical journals it covers 90% of those techniques. He claims that 82% are covered in Part I and the remaining 8% in Part II.
Part I is an elementary text that is written in a tutorial fashion and introduces concepts through the data examples. It is well written and does a good job of explaining important ideas such as the difference between clinical and statistical significance, the interpretation of confidence intervals and the idea that the classical statistical approach to hypothesis testing is designed to reject the null hypothesis and not to "prove" it. Consequently he warns the readers not to conclude that the null hypothesis is accepted just because a particular test does not reject it.
Part I covers most important elementary topics. Part II repeats much of the material in Part I but presents it a little differently. In these chapters the material is presented in easy to use reference style using a lot more formulae. The level of the second half is a little higher and includes some more advanced topics (the other 8%). Topics covered in Part II but not Part I include sequential methods, meta-analysis, time series methods and survival analysis. Actually survival analysis is briefly discussed in Part I under epidemiological studies.
Another unique feature is the section of chapter summaries at the end of the book. This is sort of a Reader's Digest summary of the book that highlights the key results for those who want a reference source but may not have the patience to read through the material or those who after taking the course want a quick refresher. I have never seen this done before but I think it may have some value.
I believe that Dr. Riffenburgh has succeeded in his goals and I admire the fresh approach that he has taken. It is very difficult to avoid much of the basic mathematics without losing some of the important concepts and foundation to the subject.
Many authors that try, fail miserably. On the other hand authors that include too much mathematics scare off many of the students that the text is targeted for. Riffenburgh with this book and Motulsky with his book "Intuitive Biostatistics" have both carefully crafted a text that succeeds in this goal.
I did give the book four stars instead of five. This is because I think there are a few important topics in biostatistics that are not included or are covered too briefly. These include equivalence testing, group sequential methods, intention-to-treat analysis, methods for handling missing data and longitudinal data analysis.
The author deserves recognition for including important topics such as meta-analyses, non-parametric methods, logistic regression, sensitivity and specificity and survival analysis methods. These topics are often omitted from elementary courses but are all important in biostatistical applications.
Best Stats Book Ever...for those afraid of stats !.......2000-01-31
Dr. Riffenburgh has done an excellent job of "capturing" his audience and drawing them in without fear or confusion. Statistics can be overwhelming for the health professional and he has given them the tools to prepare proposals using statistical applications easy to understand and employ. I wholeheartedly recommend this book to any professional, novice or seasoned to the research process as a tool for success in the research process. Members of my research team in the Navy are using this book with ease and confidence. Thank you Dr. Riffenburgh for making a painful process very enjoyable and empowering !
Best Stats Book Ever...for those afraid of stats !.......2000-01-31
Dr. Riffenburgh has done an excellent job of "capturing" his audience and drawing them in without fear or confusion. Statistics can be overwhelming for the health professional and he has given them the tools to prepare proposals using statistical applications easy to understand and employ. I wholeheartedly recommend this book to any professional, novice or seasoned to the research process as a tool for success in the research process. Members of my research team in the Navy are using this book with ease and confidence. Thank you Dr. Riffenburgh for making a painful process very enjoyable and empowering !
Book Description
Building an up-to-date understanding of the methodologies that can be used to shape public health policies, Epidemiology: Study Design and Data Analysis, Second Edition encompasses the study of epidemiology from the observation of associations between risk factors and disease to the use of practical, data-supported analyses. It presents study designs commonly used for a wide range of purposes, and covers the spectrum of statistical principles and analytical tools used in epidemiological research, such as techniques used in report writing, descriptive analyses, statistical models and synthesis of evidence. New Material in This Edition Includes: · Systematic evaluation · Meta-analysis · Regression dilution · Case-cohort studies · Case-crossover studies · Pooled logistic regression · Companion Web site containing data sets for examples and exercises, SAS and Stata code for examples, a sample size calculator, and a SAS floating absolute risk macro The second edition of a popular textbook, this book emphasizes quantitative and design aspects of epidemiological research. The author favors the use of basic mathematics and practical methods over complicated mathematical proofs, making this an ideal textbook that is comprehensive yet accessible to graduate students in epidemiology, statistics, public health studies, and/or medical research.
Customer Reviews:
Good and quite complete.......2007-09-06
This is realy a good book and quite complete. Some issues are out, but probably could come in an advanced release.
Text are easy and smooth.
Excellent pres. of epi & data-analysis -mostly for students.......2004-01-10
This book can both be used as a first time introduction to epidemiology and the most popular statistical methods employed in health research, but also for looking up things when you need it, since it is actually quite thorough on a lot of subjects in the field. This is, however, not the best thing about the book.
The best thing about it is that it is very well-written - neither too complicated and unstructured, or too common-sense to the point where you get annoyed because the author never gets to the point. I'm sure that some readers will be find that Woodward has spend to many pages on the statistical part - at least if they expect to find a pure epidemiology-textbook - but the data analysis part is also very well-written and quite comprehensible. So even if you're not planning on spending the rest of your life with data analysis, this book can provide you wih an understanding of this part of epidemiological research as well, which will make the understanding of the field as a whole much better.
Book Description
Judith Lorber and Lisa Jean Moore consider the interface between the social institutions of gender and Western medicine in this brief, lively textbook. They offer a distinct feminist viewpoint to analyze issues of power and politics concerning physical illness. For a creative, feminist-oriented alternative to traditional texts on medical sociology, medical anthropology, and the history of medicine, this is an ideal choice.
Product Description
The second edition of this popular textbook provides an introduction to the principles and methods of epidemiology. Since publication of the first edition in 1993, Basic epidemiology has become a standard reference for education, training and research in the field of public health and has been translated into more than 25 languages. It is used widely, for training public health and environment professionals, undergraduate medical students, and students in other health professions. The second edition provides updated examples of how and why the basics of epidemiology are essential to anyone who is required to understand and apply the principles of disease causation and prevention. The book has a particular emphasis on modifiable environmental factors and encourages the application of epidemiology to the prevention of disease and the promotion of health, including environmental and occupational health. It prepares members of the health-related professions to respond to the need for health services to address all aspects of the health of populations, and to ensure that health resources are used to the best possible effect. It shows how good clinical practice is informed by clinical epidemiology; and its lively, concise style is designed to stimulate a continuing interest in the subject. This edition includes comprehensive chapters on the nature and uses of epidemiology; the epidemiological approach to defining and measuring the occurrence of health-related states in populations; the strengths and limitations of epidemiological study designs, causation, the contribution of epidemiology to the prevention of disease, the promotion of health and the development of health policy, and the role of epidemiology in evaluating the effectiveness and efficiency of health care. It enables students to describe the common causes of death, disease and disability in her or his community; outline appropriate study designs to answer specific questions concerning disease causation, nat
Product Description
The text prepares students and physicians to use applications of probability and statistics in the care of the individual patient. The emphasis is on using this data in problems of diagnosis, treatment, and follow-up care. Each chapter includes a clinical case that demonstrates the application of biostatistics in the daily practice of medicine. The text is distinguished from Glantz' Biostatistics in two ways: 1) a greater focus on epidemiological data as it relates to biostatistics, and 2) more clinically oriented approach. Glantz' strength lies in its excellent introductory approach to the topic; Inglefinger is the logical next step into the clinical application. This edition features all-new references to the literature and many new clinical case examples.
Average customer rating:
- A valuable reference tool and textbook
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The Demography of Health and Health Care Second Edition (The Plenum Series On Demographic Methods And Population Analysis) (The Plenum Series on Demographic Methods and Population Analysis)
Louis G. Pol , and
Richard K. Thomas
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Measuring Mortality, Fertility, and Natural Increase: A Self-Teaching Guide to Elementary Measures
ASIN: 0306463377 |
Book Description
"Health demography" has come to play an increasingly important role within the larger field during the past twenty years; the number of health professionals who utilize its methods and materials has grown exponentially. In a thoroughgoing revision of the first edition of this classic text and reference, published by Plenum in 1992, the authors convey the general principles that underlie this applied subdiscipline and demonstrate how the merging of demography and health care impacts on the planning processes of a range of health care organizations.
Customer Reviews:
A valuable reference tool and textbook.......2001-05-26
Louis Pol and Rick Thomas have rendered a valuable service with this book. For demographers it demonstrates how their methods, concepts and data can be applied to important health and health care issues; for health care professionals, it shows that the "demographic perspective" yields valuable insights into a wide range of health and health care issues. The book is clearly written, well-organized, and has a very useful set of references. The book can serve both as a reference tool for practicing professionals and as a textbook for upper-division and graduate courses dealing with health and population.
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Endocrine Disruptors: Effects on Male and Female Reproductive Systems, Second Edition
Manufacturer: CRC
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ASIN: 0849322812 |
Book Description
There is great concern regarding the reproductive and health hazards of endocrine disruptors. Research indicates that men are experiencing declining fertility and an increased incidence of prostate cancer, while women are dealing with increased infertility, early menopause, and breast cancer. As new research reveals the previously unknown risks of these endocrine disruptors, it is imperative to update our knowledge of these controversial chemicals. Endocrine Disruptors: Effects on Male and Female Reproductive Systems, Second Edition examines the reproductive and health hazards of endocrine-disrupting environmental chemicals from epidemiology to etiology, concluding with future directions. Divided into two sections, the first part of the book describes the effects of environmental toxicants on the female reproductive system, with an emphasis on the effects and mechanisms of their action on sex differentiation during development, fertility, and breast cancer. The second part addresses the effects of endocrine disruption on the male reproductive system, focusing on male fertility and the development of benign prostate hyperplasia (BPH) and prostate cancer. Leading authorities contribute expert analyses and up-to-date information on a topic that has become a major concern among the scientific community and the general public. This second edition supplies the most current, critical knowledge on the real risks that endocrine disruptors pose to the population.
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