- Occupational Therapy
- Sexuality
- Borges, Jorge Luis
- Dentistry
- Roth, Henry
- Rego, Paula
- UFOs
- Semantics
- Marriage & Family
- Po, Li
- Shone, Anna
- Prokofiev, Sergey
- Track & Field
- Animal Ark
- Cubism
- Fiction
- Rapp, Adam
- Lane, Allison
- Garcia Lorca, Federico
- Physical Therapy
- Medical Law & Legislation
- Clinical
- Grossology
- South America
- Jungian
- ( M )
- Fiction
- Hardcover
- Peanuts
- Words & Language
- Some of our other sites:
- Books
- Clothing, Shoes and Accessories
- Baby Clothes and Accessories
- Cosmetics, Beauty Products and Fragrances
- Cellphones, Call Plans and Accessories
- Video Games
- DVDs
- Electronics, Gadgets and Computers
- Health and Personal Care
- Home and Garden
- Home DIY
- Jewelry
- Magazines and Newspapers
- Music Downloads
- Musical Instruments
- Office Equipment and Supplies
- Software and Games
- Sporting Goods
- Toys and Games
- Watches
- UK Books
- UK Video Games
- UK Home and Garden
- UK Electronics, Gadgets and Computers
- UK Baby Clothes and Accessories
- UK Software and Games
- UK Sporting Goods
- UK Toys and Games
Books : Science : Medicine : Research : Biostatistics
-
This popular book applies the author's many years of clinical and teaching experience to make the principles and methods of epidemiology easy to understand and enjoyable to read about. A clear, concise writing style and just the right dose of humor explain the role of epidemiology in measuring disease in a community, estimating risks, and influencing public policy and ethical concerns. Line diagrams, cartoons, and review questions with answers reinforce the text.
The smart way to study!
Elsevier titles with STUDENT CONSULT will help you master difficult concepts and study more efficiently in print and online! Perform rapid searches. Integrate bonus content from other disciplines. Download text to your handheld device. And a lot more. Each STUDENT CONSULT title comes with full text online, a unique image library, case studies, USMLE style questions, and online note-taking to enhance your learning experience.
Your purchase of this book entitles you to access www.studentconsult.com at no extra charge. This innovative web site offers you...- Access to the complete text and illustrations of this book.
- Integration links to bonus content in other STUDENT CONSULT titles.
- Content clipping for your handheld.
- An interactive community center with a wealth of additional resources.
- The more STUDENT CONSULT titles you buy, the more resources you can access online!
- Look for the STUDENT CONSULT logo on your favorite Elsevier textbooks!
- Access to the complete text and illustrations of this book.
-
In this completely revised and updated edition of Health Behavior and Health Education the contributors offer the most current information on developments in health behavior in theory, research, and practice. Drawing from such fields as cognitive and organization psychology, marketing and communications, the authors offer understanding about the diverse factors affecting health behavior. The editors were the recipients of the 1992 Mayhew Derryberry Award for outstanding contribution to health education theory and research.
-
Already the number one text on health policy and rapidly becoming a classic, Understanding Health Policy: A Clinical Approach 3E covers such fundamental topics as cost containment, health insurance, managed care, and physician and hospital payment. Extensive case histories, drawn from the authors' actual practice, bring to life important policy issues by pinpointing individual encounters within the healthcare system.
New to this Edition
* More information on 2-tier model of reimbursement
* Greater emphasis on defined contribution approach to controlling costs
* Includes comparative information on health care policy in Canada, the UK, and Germany
* "Questions & Discussion Topics" provided for each chapter to stimulate classroom discussionPlease consider this important new edition for your course. Your students will gain an engaging text, that according to a review by the Journal of Health, Politics, Policy, and Law of the prior edition, "goes a long way toward helping readers understand how the health care system has worked in the past, how it is changing, and how it might work under different scenarios in the future."
-
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.
-
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.
-
"This is not a book about how to collect qualitative data but rather what to do with qualitative data that have been collected. . . . For evaluators who work with qualitative data, this book provides a wealth of ideas on organizing, analyzing, and presenting such data. It is. . . a set of resources for practicing teachers. It is well-organized, clearly written, and practical. I have recommended the book to graduate students seeking advice on ways to treat the data from their field studies, and they too have found it helpful."
--Thomas A. Schwandt in Evaluation and Program Planning
"Matthew B. Miles and A. Michael Huberman maintain a high degree of integrity in what they propose and how they present their material. . . . The authors also offer a thorough presentation of issues in qualitative research. The book progresses logically and will be of great assistance to anyone engaged in qualitative research. . . . An excellent addition to any researcher’s library."
--Canadian Journal of Program Evaluation
"The book offers communication researchers some of the best recent work on qualitative inquiry in the human disciplines. . . . Published by Sage, the leading publisher of qualitative research in the social sciences today. . . . Matthew B. Miles and A. Michael Huberman offer a ''must-own'' text, in the revisions of their highly influential sourcebook on qualitative data analysis. . . . This second edition updates the 1984 edition, outlining a complex and comprehensive model for a causal, grounded theory and variable approach to the management, analysis, and interpretation of qualitative data. A valuable appendix reviews over 200 computer-assisted models of qualitative data analysis. . . . This work brings the communication scholar up-to-date on where qualitative methods are in current sociological and educational discourse."
--Norman K. Denzin in Journal of Communication
"The first edition of this book was terrific, and the second edition sets even higher standards. Matthew B. Miles and A. Michael Huberman simply demystify qualitative data analysis, offering practical advice on how to code text and how to compare cases systematically. Most important, they bring the conceptual power of matrix analysis to qualitative research. This book is not just for qualitative social scientists, though. It’s a must-have book for anyone who teaches social research methods."
--H. Russell Bernard, University of Florida
"The second edition of Qualitative Data Analysis is a stunning accomplishment, a major advance beyond their first edition. Thoroughly comprehensive in scope, well-written, and easily accessible, Qualitative Data Analysis provides the best developed and most rigorous set of analytic procedures now available in the social sciences. Qualitative researchers have, with this new edition, a revised and expanded version of their Bible. Its virtues are many: guidelines for reducing and displaying qualitative data; how to build a grounded, conceptual framework; advice on sampling and coding strategies; how to do within and cross-case designs and matrix displays; a thorough review of the ethical issues in qualitative analysis; and strategies for writing and presenting the final report. I recommend that this book be on the shelf of every qualitative researcher. No significant work can be done in this area without reference to Matthew B. Miles and A. Michael Huberman’s new book."
--Norman K. Denzin, University of Illinois,
Urbana-Champaign
"I think this is a terrific book, and a definite improvement over the first edition. The additions to Chapters 1 and 2 and the new Chapter 3, address issues that have become increasingly important since the first edition was published, and will make the book more useful and influential. The additions to Chapters 4 and 5 are also useful, as is the reorganization of Chapter 5 to make it more coherent. It’s also more user-friendly."
--Joseph Maxwell, Graduate School of Education, Harvard University
"It is a goldmine of ideas, sources, tactics, recipes, warnings, aphorisms, examples, and questions. A wondrous collection."
--Harry F. Wolcott, University of Oregon
In 1984, the First Edition of Qualitative Data Analysis addressed a critical need faced by researchers in all fields of the human sciences-how to draw valid meaning from qualitative data. It provided methods of analysis that were practical, credible, and reliable. This groundbreaking book has now been revised to take up where the first edition left off and account for the phenomenal expansion of qualitative inquiry since then. In the Second Edition, Matthew B. Miles and A. Michael Huberman bring the art of qualitative data analysis up-to-date, adding hundreds of new techniques, ideas, and references that draw on the experience of the authors and many colleagues in the design, testing, and use of qualitative data analysis methods. Each method of data display and analysis is described and illustrated in detail, with practical suggestions for adaptation and use. The growth of computer use in qualitative analysis is reflected throughout this volume, which also includes an extensive appendix on criteria useful for choosing among the currently available analysis packages.
Using examples from a host of social science and professional disciplines and stressing a hands-on, practical approach, Qualitative Data Analysis, Second Edition remains the most complete treatment of this topic available to scholars and applied researchers.
-
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.
-
This book serves as a comprehensive reference for a variety of research situations. This edition reflects the popular approaches to analysis and design, and addresses the focus of health-care related research through the 1990s and into the 21st century. Expanded or added topics include outcomes research and the disablement model, validity and diagnostic screening, meta-analysis, scales used in survey and outcomes research, logistic regression, measures of reliability, and data management to prepare for computer analysis. For those in the health professions, including physical therapy, occupational therapy, speech therapy, nursing, and exercise physiology.
-
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.
-
FUNDAMENTALS OF BIOSTATISTICS (WITH CD-ROM) leads you through the methods, techniques, and computations necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems.
-
High-Yield(TM) 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.
-
-
The latest edition of this best-selling biostatistics book is both comprehensive and easy to read. It provides a broad and practical overview of the statistical analysis methods used by researchers to collect, summarize, analyze, and draw conclusions from biological research data. The Fourth Edition can serve as either an introduction to the discipline for beginning students or a comprehensive procedural reference for today's practitioners.
-
A concise introduction to epidemiology. Covers all the basics: methods of study, how to conduct a study, and multivariate analysis. Features updated case studies, which make the critical link between epidemiology, clinical research, and patient care.
-
A collection of handouts for Evidence Based Medicine (EBM) workshops run at the Centre for Evidence-based Medicine, University of Queensland which have been attractively presented in full colour as an ideal tool for learning EBM skills individually and in a group setting.Written by world famous teachers of EBM, the book is split into three sections Part 1: Introduction to evidence-based medicine, Part 2: The steps in evidence-based medicine, Part 3: Resources and further reading which take you through the principles of EBM. Helpful exercises based on journal articles are included as well as advice on how to access the relevant resources. Designed to provide clear help in finding useful answers from the literature for clinicians, the processes are laid out and then worked through with clinical examples.
-
The book presents an overview of multivariate statistics and their place in research. It describes the appropriate context for -- and the types of empirical questions that can best be addressed by -- each technique or family of techniques, as well as the distribution assumptions that must be met for the analysis to be meaningful. The most commonly used multivariate techniques are examined in detail: multiple regression and correlation, path analysis, principal-components analysis, exploratory and confirmatory factor analysis, multidimensional scaling, analysis of cross-classified data, logistic regression, multivariate an alysis of variance (MANOVA), discriminant analysis, and meta-analysis. Statistical notations are explained, underlying assumptions are described, and terms are defined clearly and understandably. Concepts and symbols are presented with minimal use of formulas and a generous use of real-world research examples. Each chapter also includes suggestions for additional reading and a glossary of statistical and related terms.
-
The randomized control clinical trial has become the gold standard scientific method for the evaluation of pharmaceuticals, biologics, devices, procedures and diagnostic tests. This trial design has been successfully used in both therapeutic and disease prevention trials. It is superior to alternative designs by eliminating several sources of bias which exist in those designs. This role has evolved over the past three decades in a number of disease areas including cardiology, opthalmology, cancer and AIDS. While the specifics of using the randomized control design for a specific intervention and disease may differ, the basic fundamentals still apply in developing the study protocol and operational procedures. These fundamentals still apply in developing the study protocol and operational procedures. These fundamentals include identifying the specific questions to be tested and appropriate outcome measures, determining an adequate sample size, specifying the randomization procedure, detailing the intervention with visit schedules for subject evaluation, establishing an interim data and safety monitoring plan, detailing the final analysis plan and determining the organizational structure. This text is structured to address the fundamentals as the protocol for a clinical trial is being developed. A chapter is devoted to each of the critical areas of a protocol to aid the clinical trial researcher. The fundamentals described in this text are based on sound scientific methodology, statistical principles and years of accumulated experience by the three authors. Collectively, the authors have been active researchers in a broad area of clinical trials including cardiology, cancer, opthalmology, diabetes, osteoporosis, AIDS, women's health and screening tests. In these studies, the authors have served as members of the steering committee responsible for developing the protocol and as members of data and safety monitoring committees. The fundamentals were proposed in the first edition published in 1981 and have not changed substantially in the later editions. However, the number of examples illustrating the fundamentals has greatly expanded base on the collective experience of the authors. This text is intended for the clinical researcher who is interested in designing a clinical trial and developing a protocol. It is also of value to researchers and practitioners who must critically evaluate the literature of published clinical trials and assess the merits of each trial and the implications for the care and treatment of patients. The test uses numerous examples of published clinical trials from a variety of medical disciples to meaningfully illustrate the fundamentals. Technical design issues such as sample size are considered but the technical details have been suppressed as much as possible through the use of graphs and tables. While the technical material has been kept to a minimum, the statistician may still find the principles and fundamentals presented in this text useful both in a consulting and teaching capacity. The text assumes that the readers have only a modest formal statistical background. A basic introductory statistics course is helpful in maximizing the benefit of the text. However, a researcher or practitioner with no statistical background would still find most, if not all the chapters understandable and useful.
-
Marcello Pagano and Kimberlee Gauvreau's PRINCIPLES OF BIOSTATISTICS, Second Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life.
-
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.
-
This classic text takes an applied and computer-oriented approach to its topical coverage. The book is intended for one or two semester courses in biostatistics at the undergraduate or graduate level offered by departments of biostatistics, statistics, mathematics, nursing and other allied health disciplines, and is also used in some departments of forestry and animal husbandry. Nearly all the examples and exercises make use of real data from actual research projects and reports from health sciences literature. Where appropriate, Minitab, SPSS and SAS commands and printouts are included as part of the examples and solutions to exercises.