Book Description
This pioneering introductory statistics text was the first written specifically to make statistics accessible for health science students. Assuming no prerequisites other than high school algebra, the authors provide numerous examples from health settings, a wealth of helpful learning aids, as well as hundreds of exercises that help students succeed in the course.
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Basic Statistics: A Primer for the Biomedical Sciences
Olive Jean Dunn , and
Virginia A. Clark
Manufacturer: Wiley-Interscience
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ASIN: 0471354228 |
Book Description
An introduction to the use of statistics in biomedical research-now fully updated for the information age
Since the second edition of Basic Statistics was published more than two decades ago, there have been significant changes in the way statistics is applied in the biomedical fields. To provide relevant, up-to-date coverage of biostatistics for professionals in public health, medicine, and other biomedical fields, this popular primer is now thoroughly revised. The new edition emphasizes biomedical research methodology and clearly explains the design, graphical methods, and exploratory data analysis as used in contemporary studies. Through short, concise, nontechnical presentations (high-school algebra is the only requirement!), readers will learn to interpret and examine data from biomedical studies and apply such tools as sampling, random assignment, and biostatistical analyses in their own research. Basic Statistics, Third Edition:
* Describes major types of biomedical studies and how to design them
* Discusses the samples used in different types of biomedical studies
* Emphasizes the use of confidence intervals in data analysis
* Offers a new introduction to survival analysis, including clinical
life tables
* Substantiates with examples some of the major statistical theorems
* Adds new graphs, figures, problem sets, and bibliographic references
* Discusses using statistical computer programs in data analysis
Book Description
Succinct and comprehensive, this book provides students with an overview of the principles and concepts of epidemiology and illustrates the complementary relationship between population-based science and the care of patients. Thoroughly updated, this new edition features epidemiologic implications of bioterrorism, “Patient Profiles” within each chapter, and USMLE clinical vignettes within the “Study Question” section of each chapter.
Customer Reviews:
Greenberg's Medical Epidemiology.......2000-09-05
I've used this and the previous edition of Greenberg's text for my epidemiology and literature interpretation course for Physician Assistant students. I've found the text very readable and nicely linked to clinical practice. Each chapter starts with a clinical case around which the chapter is focused. The study questions at the end of each chapter also are useful.
It is an excellent introductory text for clinicians/health professional students. Probably would not be the best choice for a epidemiology course in an epidemiology graduate program or career epidemiologists.
Book Description
This text is an easy-to-understand, application-oriented guidebook for learning the basic principles of epidemiologic investigation. Numerous opportunities are presented to apply and test learning through problems and application exercises. Answers are provided.
Book Description
This comprehensive text uses a discussion and problem-solving format to introduce learners to the computational skills required in the health care field. The hands-on approach challenges learners to think through a problem and choose the appropriate data, helping them to understand its underlying concepts. It also stresses the importance of evaluating the source of the data and how the rates are obtained. The second edition includes a chapter on computerized rates and graphing. This introductory text teaches allied health students the computational skills they need to be successful.
Average customer rating:
- Horrible at explaining concepts and formulas
- Now that I have read it
- Fair overview, but not always clear.
- good introduction for health science majors
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Basic Statistics For Health Science
Jan W. Kuzma , and
Steve Bohnenblust
Manufacturer: McGraw-Hill Humanities/Social Sciences/Languages
ProductGroup: Book
Binding: Hardcover
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ASIN: 1559349514 |
Book Description
This is the only introductory statistics text written specifically for health science students. Assuming no prerequisites other than high school algebra, the authors provide numerous examples from health settings, a wealth of helpful learning aids, as well as hundreds of exercises to help students succeed in the course.
Customer Reviews:
Horrible at explaining concepts and formulas.......2004-12-15
As a statistics tutor, I have had to spend countless hours explaining to students the content of this book due to its lack of ability to make concepts clear. This book assumes that the reader has a background in statistics and does not need detailed explanations. I have had to use my personal statistics book (Elementary Statistics by Mario F. Triola) to properly teach the students statistics. This book is frustrating to say the least.
Now that I have read it.......2001-09-28
Although three years have past since the third edition there is very little difference in the fourth edition. There is a new second author but the first 7 chapters are virtually identical.
The biggest change appears to be the expansion of Chapter 8 from 6 sections to 16 with p-values introduced and explained in various contexts and type I and type II errors introduced one chapter earlier. The introduction of hypothesis testing along with estimation occurs in Chapter 8. This may be helpful to instructors if they tend to strictly follow the order in the text. Chapter 9 is somewhat shorter. These two chapters are now organized by one and two sample problems rather than by estimation and testing. It is not clear to me that this is a better way to organize and introduce the material.
In the end, the text is only 15 pages longer than the third edition and there are no new chapters. There seem to be fewer exercises overall.
Although there are noticeable differences in Chapters 8 an 9, there is very little difference in the other chapters. Most of the exercises are the same (with a few deleted from the new edition).
The authors claim to put more emphasis on the use of computers to solve problems. But this is not easily discernable. I only noticed some brief mention of SPSS version 9 in the ANOVA chapter.
Fair overview, but not always clear........2000-12-12
The book is well organized from start to finish, and builds well on the topics as they are presented. Unfortunately, it often makes assumptions about the reader's knowledge of the topic, usually around formula usage that is confusing and difficult.
As a primer for statistics, this one falls a little short.
good introduction for health science majors.......2000-06-13
Kuzma's book provides a good non-mathematical treatment of introductory biostatistics for health science majors. The book is at the right level for my undergraduate students in the Health Science Department at Cal State Long Beach. Kuzma's experience at Loma Linda Hospital has given him a good sense of the appropriate topics and level for these students. I have supplemented the book with my own materials on bootstrap methods and have also considered including topics on epidemiology and problems requiring meta analyses.
The downside to the book is that Kuzma is not a professional statistician and hence there are occasional technical errors and poor exposition of techniques.
Even given these shortcomings, it is the best currently available book at this level. At a slightly higher graduate level, I would recommend Altman's book "Practical Statistics for Medical Research".
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An Introduction to the Basics of Reliability and Risk Analysis (Series on Quality, Reliability and Engineering Statistics) (Series on Quality, Reliability and Engineering Statistics)
Enrico Zio
Manufacturer: World Scientific Publishing Company
ProductGroup: Book
Binding: Hardcover
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ASIN: 9812706399 |
Product Description
The necessity of expertise for tackling the complicated and multidisciplinary issues of safety and risk has slowly permeated into all engineering applications so that risk analysis and management has gained a relevant role, both as a tool in support of plant design and as an indispensable means for emergency planning in accidental situations. This entails the acquisition of appropriate reliability modeling and risk analysis tools to complement the basic and specific engineering knowledge for the technological area of application. Aimed at providing an organic view of the subject, this book provides an introduction to the principal concepts and issues related to the safety of modern industrial activities. It also illustrates the classical techniques for reliability analysis and risk assessment used in current practice.
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Basic Biostatistics: Concepts for the Health Sciences : The Almost No Math Stats Book
Frank D. Bell
Manufacturer: William C. Brown
ProductGroup: Book
Binding: Paperback
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ASIN: 069714979X |
Book Description
This "almost no math" text takes a focused, health sciences approach toward statistics. Developed for the junior/senior, one-semester course, Basic Biostatistics provides introductory, user-friendly explanations of the primary concepts on which the most common statistical techniques are founded. Designed for the first-time statistics student, Basic Biostatistics is easy to read, unintimidating, and economically priced. Terminology and concepts relevant to the allied health and biology fields are emphasized, while calculations are downplayed.
Product Description
Basic Biostatistics is a concise, introductory text that covers biostatistical principles and focuses on the common types of data encountered in public health and biomedical fields. The text puts equal emphasis on exploratory and confirmatory statistical methods. Sampling, exploratory data analysis, estimation, hypothesis testing, and power and precision are covered through detailed, illustrative examples. The book is organized into three parts: Part I addresses basic concepts and techniques; Part II covers analytic techniques for quantitative response variables; and Part III covers techniques for categorical responses. With language, examples, and exercises that are accessible to students with modest mathematical backgrounds, this is the perfect introductory biostatistics text for undergraduates and graduates in various fields of public health.
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