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Statistics for Technology: A Course in Applied Statistics, Third Edition (Chapman & Hall/CRC Texts in Statistical Science) Description

One of the most popular introductory texts in its field, Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science, social science, and engineering.
The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived) examples are used throughout the chapters.
Divided into three parts, the Introduction describes some simple methods of summarizing data. Theory examines the basic concepts and theory of statistics. Applications covers the planning and procedures of experiments, quality control, and life testing.
Revised throughout, this Third Edition places a higher priority on the role of computers in analysis, and many new references have been incorporated. A new appendix describes general methods of tackling statistical problems, including guidance on literature searching and report writing.

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This remarkable text raises the analysis of data in health sciences and policy to new heights of refinement and applicability by introducing cutting-edge meta-analysis strategies while reviewing more commonly used techniques. Each chapter builds on sound principles, develops methodologies to solve statistical problems, and presents concrete applications used by experienced medical practitioners and health policymakers. Written by more than 30 celebrated international experts, Meta-Analysis in Medicine and Health Policy employs copious examples and pictorial presentations to teach and reinforce biostatistical techniques more effectively and poses numerous open questions of medical and health policy research.Read more Meta-Analysis in Medicine and Health Policy (Chapman & Hall/CRC Biostatistics Series)

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Thoroughly revised and updated for its Third Edition, this highly acclaimed volume is the most comprehensive reference on hospital epidemiology and infection control. In 115 chapters written by over 150 leading experts, the book examines every type of hospital-acquired (nosocomial) infection and addresses every issue relating to surveillance, prevention, and control of these infections in patients and in healthcare workers.

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Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research.

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From aspects of early trials to complex modeling problems, Advances in Clinical Trial Biostatistics summarizes current methodologies used in the design and analysis of clinical trials. Its chapters, contributed by internationally renowned methodologists experienced in clinical trials, address topics that include Bayesian methods for phase I clinical trials, adaptive two-stage clinical trials, and the design and analysis of cluster randomization trials, trials with multiple endpoints, and therapeutic equivalence trials. Other discussions explore Bayesian reporting, methods incorporating compliance in treatment evaluation, and statistical issues emerging from clinical trials in HIV infection.
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The traditional emphasis in medical records management around the world has been on what data to get, and not on how to get it. The more efficient health information systems of today, however, are interested in what data to get, how to get it, and how to synthesize these data into an understanding of the patient's total situation. Disease classification and coding is the principal tool used by medical records personnel to accomplish this, and is, therefore a skill, which the effective healthcare managers, medical records administrators, clinical statisticians, statistical technicians, and medical transcriptionists also must master. This book is designed to present the principles that will help the learner to acquire or improve that skill. The roots of the book go back to the teaching of ICD coding to doctors, medical records personnel and statistical technicians at the Department of Statistics & Medical Records, Ministry of Health, Kuwait for over two decades. While teaching the principles and techniques of disease coding through various revisions of the ICD we came across many areas which were not within easy reach of our students, leading to frustration among them. This led us to bring out this comprehensive guidebook on ICD-10 coding with detailed explanations, suitable examples and appropriate coding exercises for better comprehension. The book is divided into eight units. Unit 1 provides an introduction to disease coding. Unit 2 gives a brief history of the development of ICD Units 3 and 4 deal with the main classification and alphabetic index of ICD-10. Unit 5 explains the principles and techniques of using ICD-10 and Unit 6 does this on a chapter-by-chapter basis. Units 7 and 8 consider the special features of morbidity and mortality coding. Unit 9 emphasizes the various aspects of statistical presentation in accordance with the WHO regulations. Care has been taken all through these units to keep the matter as simple as possible. Appropriate examples are provided wherever needed. Suitable exercises are presented at the end of each unit, which the students can take to test their level of comprehension before embarking on to the next unit. Many people have contributed to this final product. Of these, special mention should be made of Dr. Abdul Aziz Khalaf, Director of Statistics & Medical Records Department at the Ministry of Health, Kuwait for his continuous support and encouragement. We are deeply indebted to Miss Zahra Awadh who reviewe d most of the chapters and made many helpful contributions to both style and content; and to Mr. Mohamed Bader and Mrs. Jaya Umaputhiran for secretarial assistance. We are especially grateful to hundreds of doctors, medical records administrators and technicians, health statisticians, and ICD coders who participated in our training programmes and workshops on ICD in Kuwait and other countries during the past 25 years. We trust that these many colleagues will find our account of some small value.

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This panoramic analysis of the condition of Western societies has been hailed as a classic. This first English edition has taken its place as a core text of contemporary sociology alongside earlier typifications of society as postindustrial and current debates about the social dimensions of the postmodern.

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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.

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Popular in its first edition, Dictionary of Statistics and Methodology will help students get through a difficult journal article or passage. This useful dictionary has been revised with 600 additional new terms and definitions compiled from readers' requests and suggestions! As you've come to appreciate in the first edition, the Second Edition of the Dictionary of Statistics and Methodology contains many examples and definitions written in ordinary English. Author W. Paul Vogt pays special attention to terms that most often prevent educated general readers from understanding journal articles and books by emphasizing concepts over calculations. The level of explanation varies with the simplicity or complexity of the term defined so that more detail is offered for basic terms (for more introductory readers) while less is used to explain more advanced concepts for readers who have more background.

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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.

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Case-cohort studies

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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.

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The second edition of this innovative work again provides a unique perspective on the clinical discovery process by providing input from experts within the NIH on the principles and practice of clinical research. Molecular medicine, genomics, and proteomics have opened vast opportunities for translation of basic science observations to the bedside through clinical research. As an introductory reference it gives clinical investigators in all fields an awareness of the tools required to ensure research protocols are well designed and comply with the rigorous regulatory requirements necessary to maximize the safety of research subjects. Complete with sections on the history of clinical research and ethics, copious figures and charts, and sample documents it serves as an excellent companion text for any course on clinical research and as a must-have reference for seasoned researchers.

*Incorporates new chapters on Managing Conflicts of Interest in Human Subjects Research, Clinical Research from the Patient's Perspective, The Clinical Researcher and the Media, Data Management in Clinical Research, Evaluation of a Protocol Budget, Clinical Research from the Industry Perspective, and Genetics in Clinical Research

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The Medical Device R&D Handbook by CRC Press




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