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The second edition of this book provides a conceptual understanding of analysis of variance. It outlines methods for analysing variance that are used to study the effect of one or more nominal variables on a dependent, interval level variable. The book presumes only elementary background in significance testing and data analysis.

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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.

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This volume brings together scholars from both disciplines of psychology and psycopathology, to discuss basic cognitive processes and their functional role in clinical disorders.

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This book describes the recursive partitioning methodology and demonstrates its effectiveness as a response to the challenge of analyzing and interpreting multiple complex pathways to many illnesses, diseases, and ultimately death. For comparison purposes, standard regression methods are presented briefly and they are applied in the examples. We emphasize particularly the importance of scientific judgment and interpretation while guided by statistical output. This book is suitable for three broad groups of readers: 1) Biomedical researchers, clinicians, public health practitioners including epidemiologists, health service researchers, environmental policy advisers; 2) Consulting statisticians who can use the recursive partitioning technique as a guide in providing effective and insightful solutions to clients' problems; and 3) Statisticians interested in methodological and theoretical issues. The book provides an up-to-date summary of the methodological and theoretical underpinnings of recursive partitioning. It also presents a host of unsolved problems whose solutions whould advance the rigorous underpinnings of statistics in general. Heping Zhang is Associate Professor of Biostatistics and Child Study at Yale University. In addition to the methodology and application of recursive partitioning, he is interested in developing statistical methods for analyzing correlated data, especially family and genetic studies, and brain imaging problems. Burton Singer, a member of the National Academy of Sciences, is Professor of Demography and Public Affairs at Princeton University. His research interests include combinatorial formulation of randomness, infectious disease epidemiology, and bio-demography of aging.

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This book convincingly argues that Quality of Life is the vital link between health promotion and rehabilitation. The contributors first review the conceptual basis for understanding and discussing quality of life in health promotion and education. They continue by addressing critical issues such as ethics, policy, quality assurance, and measurement - exploring applications of quality of life in the context of a wide range of current social issues and populations. Finally, they consider the implications for future research and practice.

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Q Methodology defines the distinctive set of psychometric and operational principles which, when combined with specialized statistical applications of correlation and factor-analysis techniques, provide researchers with a systematic and rigorously quantitative means for examining human subjectivity. Based on the premise that subjectivity is communicable and advanced from self-reference, the method's central concern is to ensure that self-reference is preserved and not compromised or confused by external investigation. The authors outline the appropriate principles, techniques and procedures which advance this goal, including data gathering, statistics, and small-sample behavioral research.

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THE definitive basic book on applied biostatistical methods. Particularly suited for readers with limited mathematical background, it makes biostatistics accessible by using thorough, intuitive explanations (often laced with humor and described with an appeal to common sense logical notions), and by focusing on selected statistical methods and procedures applicable to the biological, biomedical, and health sciences. It discusses the concepts of the method, the rationale of the method, when to use the method, and how to interpret the results. The computations (while included) are not the focus of the presentation. Several larger examples are used repeatedly (from chapter to chapter) to demonstrate how investigators develop and carry out a study by moving from problem statement, to data accrual, to computation of descriptive statistics, to estimation and hypothesis testing, including univariate, bivariate and finally multivariable procedures for both discrete and continuous variables. The book is not tied to any particular computer package (e.g., SAS, Systat, BMDP), however many prototype computerized outputs of statistical analyses are illustrated and discussed in detail, with guidelines for reading and interpreting results. Descriptive Statistics. Probability. Populations, Samples, and Inference. Some Important Distributions. Estimation. Hypothesis Testing. Frequency Data. The Analysis of Variance. Simple Linear Regression and Correlation. Multiple Regression. Logistic Regression. Repeated Measures and Longitudinal Studies. Distribution-Free and Nonparametric Methods. Demography and Vital Statistics. For anyone involved in the biological, biomedical, or health sciences.

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Reliability and Validity Assessment (Quantitative Applications in the Social Sciences) by SAGE Publications, Inc

This guide explains how social scientists can evaluate the reliability and validity of empirical measurements, discussing the three basic types of validity: criterion related, content, and construct. In addition, the paper shows how reliability is assessed by the retest method, alternative-forms procedure, split-halves approach, and internal consistency method.

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This accessible introduction to data analysis focuses on the interpretation of statistical results, in particular those which come from nonexperimental social research. It will provide social science researchers with the tools necessary to select and evaluate statistical tests appropriate for their research question.

Using a consistent data-set throughout the book to illustrate the various analytic techniques, Michael Lewis-Beck covers topics such as univariate statistics, measures of association, the statistical significance of the relationship between two variables, simple regression in which the dependent variable is influenced by a single independent variable, and multiple regression.

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Scientists in the throes of research use an extensive data bank to access structural information on proteins and nucleic acids. Meanwhile, geneticists use a highly specialized form of software to analyze the hybridization pattern of DNA chips.

The past decade has been tremendously successful for biotechnology and pharmaceutical industries. This success has been a result of astounding technical advancements in genome sequencing (genomics), protein identification (proteomics), and data analysis-collectively called bioinformatics. The exponential increase in computer processing and disk storage has served as a catalyst and been instrumental in the development of bioinformatics.

Bioinformatics Basics: Applications in Biological Science and Medicine describes the origin of this field and the organization of public domain databases with an introductory tutorial for the services described. This book explains these services in a relatively simple fashion. Nevertheless, a biological background is necessary to understand and properly utilize the various software components and services described in this book. A basic biological background is also necessary for understanding the biological and medical significance of the collected data.

Bioinformatics Basics is a fast growing field, and it will take some years for a stabilization to occur. Until then, hundreds of Internet sites allow us to search, compare, and manipulate this data in its relatively raw format. Bioinformatics Basics: Applications in Biological Science and Medicine concentrates on three major database clusters and relevant software tools that are maintained in the United States, Europe, and Japan, offering free access and analysis through the Internet.

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The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Medical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its second edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computer can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and the to illustrate them with specific systems and technologies. The book has been extensively revised and updated for this second edition, and new topics include: ¿ Standards in Medical Informatics ¿ Ethics of Health Informatics: Users, Standards, and Outcomes ¿ Evaluation and Technology Assessment ¿ Public Health and Consumer uses of Health Information: Education, Research, Policy, Prevention, and Quality Assurance ¿ Bioinformatics Edward H. Shortliffe, M.D., Ph.D., is professor and chair of the department of Medical Informatics at Columbia University¿s College of Physicians and Surgeons. A member of the Institute of Medicine and a regent to the American College of Physicians-American Society of Internal Medicine, he is also a fellow of the American College of Medical Informatics and serves on the President¿s Information Technology advisory Committee. Leslie E. Perreault, M.S., is a director at the First Consulting Group in New York City. A graduate of Stanford University¿s training program in medical informatics, she has extensive experience as a consultant to healthcare organizations, especially regarding clinical systems and their integration to the enterprise. Gio Wiederhold, Ph.D., is professor of computer science at Stanford University, with courtesy appointments in Medicine and Electrical Engineering . He is a fellow of the American College of Medical Informatics, the IEEE, and the ACM.

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Foundations of Clinical Research: Applications to Practice (3rd Edition) by Prentice Hall




Foundations of Clinical Research: Applications to Practice, 3/e provides the foundations that are necessary for finding and interpreting research evidence across all healthcare professions. This book has been revised to reflect the most current changes in the field of clinical research in rehabilitation and medicine, including the growing emphasis on evidence-based practice (EBP) that has become central to all of health care and the new vocabulary that is being integrated into research and practice across disciplines. There is also a new chapter on systematic reviews and meta-analysis as well as expanded content related to clinical decision making, including likelihood ratios, pretest and posttest probabilities, minimally important change and number needed to treat.Read more Foundations of Clinical Research: Applications to Practice (3rd Edition)

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Statistical methods used in the medical literature are becoming increasingly complex, but the software available to apply these methods is becoming easier to use. The result is that consumers of the literature now have to grasp sophisticated methods which may be inappropriately applied.

This book, which goes beyond the basics of Statistics at Square One, reviews the most commonly used modern statistical methods and highlights common misunderstandings. It is easy to read, with annotated computer outputs and a minimum of formulas.

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Research Designs is a clear, compact introduction to the principles of experimental and non-experimental design especially written for social scientists and their students. Spector covers major designs including: single group designs; pre-test/post-test designs; factorial designs, hierarchical designs; multivariate designs; the Solomon four group design; panel designs; and designs with concomitant variables.

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The best laboratory math text on the market for almost 20 years, this title covers both the general principles of mathematics and specific equations, formulas, and calculations used for laboratory testing. It provides simple, easily understood explanations of calculations commonly used in clinical and biological laboratories. Contains more than 1000 practice problems.

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