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A Guide To Methods In The Biomedical Sciences

Author: Ronald B. Corley
Publisher: Springer Science & Business Media
ISBN: 0387228454
Size: 11.83 MB
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Thousands of methods have been developed in the various biomedical disciplines, and those covered in this book represent the basic, essential and most widely used methods in several different disciplines.

A Guide To Bioethics

Author: Emmanuel A. Kornyo
Publisher: CRC Press
ISBN: 1351803840
Size: 11.76 MB
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Solving intractable biotechnological questions of evolution, medicine, and genetics is now easier due to methods permitting the rapid analysis of molecular sequence data. These advances have exposed ethical and policy concerns. How would genomic information be used and by whom? Should individuals be able to make decisions regarding their own genomic data? How accurate are these genetic tests and how should they be regulated? These and other ethical conundrums are the subject of this book. Bioethicists, biomedical policy experts and lawyers, physicians, nursing and allied health students as well as science educators will find this book helpful and engaging in exploring the complexities of modern evolutionary, genetic and biomedical data.

Statistical Advances In The Biomedical Sciences

Author: Atanu Biswas
Publisher: John Wiley & Sons
ISBN: 9780470181195
Size: 64.39 MB
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The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical Research With the increasing use of biotechnology in medical research and the sophisticated advances in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate analysis of research findings. Statistical Advances in the Biomedical Sciences explores the growing value of statistical knowledge in the management and comprehension of medical research and, more specifically, provides an accessible introduction to the contemporary methodologies used to understand complex problems in the four major areas of modern-day biomedical science: clinical trials, epidemiology, survival analysis, and bioinformatics. Composed of contributions from eminent researchers in the field, this volume discusses the application of statistical techniques to various aspects of modern medical research and illustrates how these methods ultimately prove to be an indispensable part of proper data collection and analysis. A structural uniformity is maintained across all chapters, each beginning with an introduction that discusses general concepts and the biomedical problem under focus and is followed by specific details on the associated methods, algorithms, and applications. In addition, each chapter provides a summary of the main ideas and offers a concluding remarks section that presents novel ideas, approaches, and challenges for future research. Complete with detailed references and insight on the future directions of biomedical research, Statistical Advances in the Biomedical Sciences provides vital statistical guidance to practitioners in the biomedical sciences while also introducing statisticians to new, multidisciplinary frontiers of application. This text is an excellent reference for graduate- and PhD-level courses in various areas of biostatistics and the medical sciences and also serves as a valuable tool for medical researchers, statisticians, public health professionals, and biostatisticians.

Essential Guide To Reading Biomedical Papers

Author: Philip D. Langton
Publisher: John Wiley & Sons
ISBN: 1118402251
Size: 67.91 MB
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Essential Guide to Reading Biomedical Papers: Recognising and Interpreting Best Practice is an indispensable companion to the biomedical literature. This concise, easy-to-follow text gives an insight into core techniques and practices in biomedical research and how, when and why a technique should be used and presented in the literature. Readers are alerted to common failures and misinterpretations that may evade peer review and are equipped with the judgment necessary to be properly critical of the findings claimed by research articles. This unique book will be an invaluable resource for students, technicians and researchers in all areas of biomedicine. Allows the reader to develop the necessary skills to properly evaluate research articles Coverage of over 30 commonly-used techniques in the biomedical sciences Global approach and application, with contributions from leading experts in diverse fields

Basic Science Methods For Clinical Researchers

Author: Morteza Jalali
Publisher: Academic Press
ISBN: 012803078X
Size: 23.68 MB
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Basic Science Methods for Clinical Researchers addresses the specific challenges faced by clinicians without a conventional science background. The aim of the book is to introduce the reader to core experimental methods commonly used to answer questions in basic science research and to outline their relative strengths and limitations in generating conclusive data. This book will be a vital companion for clinicians undertaking laboratory-based science. It will support clinicians in the pursuit of their academic interests and in making an original contribution to their chosen field. In doing so, it will facilitate the development of tomorrow’s clinician scientists and future leaders in discovery science. Serves as a helpful guide for clinical researchers who lack a conventional science background Organized around research themes pertaining to key biological molecules, from genes, to proteins, cells, and model organisms Features protocols, techniques for troubleshooting common problems, and an explanation of the advantages and limitations of a technique in generating conclusive data Appendices provide resources for practical research methodology, including legal frameworks for using stem cells and animals in the laboratory, ethical considerations, and good laboratory practice (GLP)

Research In The Biomedical Sciences

Author: Michael Williams
Publisher: Academic Press
ISBN: 0128047267
Size: 20.11 MB
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Research in the Biomedical Sciences: Transparent and Reproducible documents the widespread concerns related to reproducibility in biomedical research and provides a best practices guide to effective and transparent hypothesis generation, experimental design, reagent standardization (including validation and authentication), statistical analysis, and data reporting. The book addresses issues in the perceived value of the existing peer review process and calls for the need for improved transparency in data reporting. It reflects new guidelines for publication that include manuscript checklists, replication/reproducibility initiatives, and the potential consequences for the biomedical research community and societal health and well-being if training, mentoring, and funding of new generations of researchers and incentives for publications are not improved. This book offers real world examples, insights, and solutions to provide a thought-provoking and timely resource for all those learning about, or engaged in, performing and supervising research across the biomedical sciences. Provides a “big picture perspective on the scope of reproducibility issues and covers initiatives that have potential as effective solutions Offers real-world research context for transparent, reproducible experimental design, execution and reporting of biomedical research with the potential to address aspects of the translational gap in drug discovery Highlights the importance of reproducibility and the necessary changes in biomedical and pharmaceutical research training and incentives to ensure sustainability

Causal Inference For Statistics Social And Biomedical Sciences

Author: Guido W. Imbens
Publisher: Cambridge University Press
ISBN: 1316094391
Size: 30.33 MB
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Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the outcome that would be realized if a subject were exposed to a particular treatment or regime. In this approach, causal effects are comparisons of such potential outcomes. The fundamental problem of causal inference is that we can only observe one of the potential outcomes for a particular subject. The authors discuss how randomized experiments allow us to assess causal effects and then turn to observational studies. They lay out the assumptions needed for causal inference and describe the leading analysis methods, including matching, propensity-score methods, and instrumental variables. Many detailed applications are included, with special focus on practical aspects for the empirical researcher.

Techniques In Microscopy For Biomedical Applications

Author: Terje Dokland
Publisher: World Scientific
ISBN: 9812564349
Size: 30.71 MB
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The second volume of the series Manuals in Biomedical Research, this book is aimed to be both a concise introduction to the diverse field of microscopy and a practical guide those who require the use of microscopic for methods in their research. It provides young as well as experienced scientists a state-of-the-art multidisciplinary overview of microscopic techniques, covering all the major microscopy fields in biomedical sciences and showing their application in evaluating samples ranging from molecules to cells and tissues.Microscopy has revolutionized our understanding of biological events. Within the last two decades, microscopic techniques have provided insights into the dynamics of biological processes that regulate such events. Biological discovery, to a large extent, depends on advances in imaging techniques and various microscopic techniques have emerged as central and indispensable tools in the biomedical sciences.The four authors bring with them extensive experiences spanning across disciplines such as Microbiology, Molecular and Cell Biology, Tissue Engineering, Biomedical and Regenerative Medicine and so forth, reinforcing the fact that microscopy has proven useful in countless investigations into the mysteries of life.

Statistical Bioinformatics

Author: Jae K. Lee
Publisher: John Wiley & Sons
ISBN: 1118211529
Size: 64.30 MB
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This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis. Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis Offers programming examples and datasets Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material Features supplementary materials, including datasets, links, and a statistical package available online Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.

Methods In Medical Ethics

Author: Jeremy Sugarman MD, MPH, MA
Publisher: Georgetown University Press
ISBN: 1589016238
Size: 78.23 MB
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Medical ethics draws upon methods from a wide array of disciplines, including anthropology, economics, epidemiology, health services research, history, law, medicine, nursing, philosophy, psychology, sociology, and theology. In this influential book, outstanding scholars in medical ethics bring these many methods together in one place to be systematically described, critiqued, and challenged. Newly revised and updated chapters in this second edition include philosophy, religion and theology, virtue and professionalism, casuistry and clinical ethics, law, history, qualitative research, ethnography, quantitative surveys, experimental methods, and economics and decision science. This second edition also includes new chapters on literature and sociology, as well as a second chapter on philosophy which expands the range of philosophical methods discussed to include gender ethics, communitarianism, and discourse ethics. In each of these chapters, contributors provide descriptions of the methods, critiques, and notes on resources and training. Methods in Medical Ethics is a valuable resource for scholars, teachers, editors, and students in any of the disciplines that have contributed to the field. As a textbook and reference for graduate students and scholars in medical ethics, it offers a rich understanding of the complexities involved in the rigorous investigation of moral questions in medical practice and research.