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Author: Annetine C. Gelijns
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 248
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Book Description
Focuses on strategies for clinical evaluation and their role in revealing the actual benefits and risks of medical innovation. Essays explore differences in current systems for developing and evaluating drugs, medical devices, and clinical procedures; the use of quality of life measures in clinical trials; health insurance databases as a tool for assessing treatment outcomes; and the role of the medical profession, the FDA, and industry in stimulating the use of evaluative methods throughout the different stages of the innovation spectrum. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Annetine C. Gelijns
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 248
Get Book Here
Book Description
Focuses on strategies for clinical evaluation and their role in revealing the actual benefits and risks of medical innovation. Essays explore differences in current systems for developing and evaluating drugs, medical devices, and clinical procedures; the use of quality of life measures in clinical trials; health insurance databases as a tool for assessing treatment outcomes; and the role of the medical profession, the FDA, and industry in stimulating the use of evaluative methods throughout the different stages of the innovation spectrum. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309042860
Category : Medical
Languages : en
Pages : 241
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Book Description
The very rapid pace of advances in biomedical research promises us a wide range of new drugs, medical devices, and clinical procedures. The extent to which these discoveries will benefit the public, however, depends in large part on the methods we choose for developing and testing them. Modern Methods of Clinical Investigation focuses on strategies for clinical evaluation and their role in uncovering the actual benefits and risks of medical innovation. Essays explore differences in our current systems for evaluating drugs, medical devices, and clinical procedures; health insurance databases as a tool for assessing treatment outcomes; the role of the medical profession, the Food and Drug Administration, and industry in stimulating the use of evaluative methods; and more. This book will be of special interest to policymakers, regulators, executives in the medical industry, clinical researchers, and physicians.
Author: A.C. Gelijns
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Morteza Jalali
Publisher: Academic Press
ISBN: 012803078X
Category : Science
Languages : en
Pages : 383
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Book Description
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)
Author: Prakash Nadkarni
Publisher: Academic Press
ISBN: 012803145X
Category : Science
Languages : en
Pages : 242
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Book Description
Clinical Research Computing: A Practitioner's Handbook deals with the nuts-and-bolts of providing informatics and computing support for clinical research. The subjects that the practitioner must be aware of are not only technological and scientific, but also organizational and managerial. Therefore, the author offers case studies based on real life experiences in order to prepare the readers for the challenges they may face during their experiences either supporting clinical research or supporting electronic record systems. Clinical research computing is the application of computational methods to the broad field of clinical research. With the advent of modern digital computing, and the powerful data collection, storage, and analysis that is possible with it, it becomes more relevant to understand the technical details in order to fully seize its opportunities. - Offers case studies, based on real-life examples where possible, to engage the readers with more complex examples - Provides studies backed by technical details, e.g., schema diagrams, code snippets or algorithms illustrating particular techniques, to give the readers confidence to employ the techniques described in their own settings - Offers didactic content organization and an increasing complexity through the chapters
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309316324
Category : Medical
Languages : en
Pages : 236
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Book Description
Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.
Author: Scott M. Berry
Publisher: CRC Press
ISBN: 1439825513
Category : Mathematics
Languages : en
Pages : 316
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Book Description
Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimer's disease and multiple sclerosis to obesity, diabetes, hepatitis C, and HIV. Written by leading pioneers of Bayesian clinical trial designs, Bayesian Adapti
Author: National Research Council
Publisher: National Academies Press
ISBN: 030918651X
Category : Medical
Languages : en
Pages : 163
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Book Description
Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or unwillingness of participants to meet appointments for evaluation. And in some studies, some or all of data collection ceases when participants discontinue study treatment. Existing guidelines for the design and conduct of clinical trials, and the analysis of the resulting data, provide only limited advice on how to handle missing data. Thus, approaches to the analysis of data with an appreciable amount of missing values tend to be ad hoc and variable. The Prevention and Treatment of Missing Data in Clinical Trials concludes that a more principled approach to design and analysis in the presence of missing data is both needed and possible. Such an approach needs to focus on two critical elements: (1) careful design and conduct to limit the amount and impact of missing data and (2) analysis that makes full use of information on all randomized participants and is based on careful attention to the assumptions about the nature of the missing data underlying estimates of treatment effects. In addition to the highest priority recommendations, the book offers more detailed recommendations on the conduct of clinical trials and techniques for analysis of trial data.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309133424
Category : Medical
Languages : en
Pages : 360
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Book Description
Integration of complementary and alternative medicine therapies (CAM) with conventional medicine is occurring in hospitals and physicians offices, health maintenance organizations (HMOs) are covering CAM therapies, insurance coverage for CAM is increasing, and integrative medicine centers and clinics are being established, many with close ties to medical schools and teaching hospitals. In determining what care to provide, the goal should be comprehensive care that uses the best scientific evidence available regarding benefits and harm, encourages a focus on healing, recognizes the importance of compassion and caring, emphasizes the centrality of relationship-based care, encourages patients to share in decision making about therapeutic options, and promotes choices in care that can include complementary therapies where appropriate. Numerous approaches to delivering integrative medicine have evolved. Complementary and Alternative Medicine in the United States identifies an urgent need for health systems research that focuses on identifying the elements of these models, the outcomes of care delivered in these models, and whether these models are cost-effective when compared to conventional practice settings. It outlines areas of research in convention and CAM therapies, ways of integrating these therapies, development of curriculum that provides further education to health professionals, and an amendment of the Dietary Supplement Health and Education Act to improve quality, accurate labeling, research into use of supplements, incentives for privately funded research into their efficacy, and consumer protection against all potential hazards.
Author: Thomas D. Cook
Publisher: CRC Press
ISBN: 1584880279
Category : Mathematics
Languages : en
Pages : 465
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Book Description
Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authors’ collective experiences in this field, Introduction to Statistical Methods for Clinical Trials presents various statistical topics relevant to the design, monitoring, and analysis of a clinical trial. After reviewing the history, ethics, protocol, and regulatory issues of clinical trials, the book provides guidelines for formulating primary and secondary questions and translating clinical questions into statistical ones. It examines designs used in clinical trials, presents methods for determining sample size, and introduces constrained randomization procedures. The authors also discuss how various types of data must be collected to answer key questions in a trial. In addition, they explore common analysis methods, describe statistical methods that determine what an emerging trend represents, and present issues that arise in the analysis of data. The book concludes with suggestions for reporting trial results that are consistent with universal guidelines recommended by medical journals. Developed from a course taught at the University of Wisconsin for the past 25 years, this textbook provides a solid understanding of the statistical approaches used in the design, conduct, and analysis of clinical trials.
