Practical Statistics For Medical Research
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Author | : Douglas G. Altman |
Publisher | : CRC Press |
Total Pages | : 624 |
Release | : 1990-11-22 |
Genre | : Mathematics |
ISBN | : 1000228819 |
Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. Using real data and including dozens of interesting data sets, this bestselling text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
Author | : Jamalludin Bin Ab Rahman |
Publisher | : Springer |
Total Pages | : 114 |
Release | : 2015-10-14 |
Genre | : Medical |
ISBN | : 9812879250 |
This book serves as a practical guide to methods and statistics in medical research. It includes step-by-step instructions on using SPSS software for statistical analysis, as well as relevant examples to help those readers who are new to research in health and medical fields. Simple texts and diagrams are provided to help explain the concepts covered, and print screens for the statistical steps and the SPSS outputs are provided, together with interpretations and examples of how to report on findings. Brief Guidelines for Methods and Statistics in Medical Research offers a valuable quick reference guide for healthcare students and practitioners conducting research in health related fields, written in an accessible style.
Author | : Susan K. Grove |
Publisher | : Saunders |
Total Pages | : 0 |
Release | : 2007 |
Genre | : Evidence-based medicine |
ISBN | : 9781416002260 |
Author | : Mendel Suchmacher |
Publisher | : Academic Press |
Total Pages | : 249 |
Release | : 2012-07-26 |
Genre | : Medical |
ISBN | : 0124158579 |
Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision making. It is a practice that uses statistical analysis of scientific methods and outcomes to drive further experimentation and diagnosis. The profusion of evidence-based medicine in medical practice and clinical research has produced a need for life scientists and clinical researchers to assimilate biostatistics into their work to meet efficacy and practical standards. Practical Biostatistics provides researchers, medical professionals, and students with a friendly, practical guide to biostatistics. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or a hands-on guide to effectively incorporate biostatistics in clinical trials. - Customized presentation for biological investigators with examples taken from current clinical trials in multiple disciplines - Clear and concise definitions and examples provide a pragmatic guide to bring clarity to the applications of statistics in improving human health - Addresses the challenge of assimilation of mathematical concepts to better interpret literature, to build stronger studies, to present research effectively, and to improve communication with supporting biostatisticians
Author | : Jim Fowler |
Publisher | : John Wiley & Sons |
Total Pages | : 235 |
Release | : 2013-06-20 |
Genre | : Science |
ISBN | : 1118685644 |
Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings. An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sciences. The field biologist faces very particular problems and challenges with statistics as "real-life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory-based experiment. Acknowledging the peculiarites of field-based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease. To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included. It will be extremely useful to undergraduates studying ecology, biology, and earth and environmental sciences and of interest to postgraduates who are not familiar with the application of multiavirate techniques and practising field biologists working in these areas.
Author | : Douglas G. Altman |
Publisher | : CRC Press |
Total Pages | : 630 |
Release | : 1990-11-22 |
Genre | : Mathematics |
ISBN | : 9780412276309 |
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. Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. The text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
Author | : Brian S. Everitt |
Publisher | : Wiley |
Total Pages | : 0 |
Release | : 2010-06-28 |
Genre | : Medical |
ISBN | : 9780470711163 |
Statistical science plays an increasingly important role in medical research. Over the last few decades, many new statistical methods have been developed which have particular relevance for medical researchers and, with the appropriate software now easily available, these techniques can be used almost routinely to great effect. These innovative methods include survival analysis, generalized additive models and Bayesian methods. Modern Medical Statistics covers these essential new techniques at an accessible technical level, its main focus being not on the theory but on the effective practical application of these methods in medical research. Modern Medical Statistics is an indispensable practical guide for medical researchers and medical statisticians as well as an ideal text for advanced courses in medical statistics and public health.
Author | : Julius Sim |
Publisher | : Nelson Thornes |
Total Pages | : 418 |
Release | : 2000 |
Genre | : Medical |
ISBN | : 9780748737185 |
Providing everything the researcher, in a health care setting, needs to know about undertaking and completing a research project, this book provides detailed information about the various types of research projects that might be undertaken.
Author | : Anna Hart |
Publisher | : Radcliffe Publishing |
Total Pages | : 180 |
Release | : 2001 |
Genre | : Medical |
ISBN | : 9781857754728 |
Book is unique in being written for people who want to be able to make sense of published studies, or embark on their own studies, without getting bogged down by the details of how to use specific methods.
Author | : Carol K. Redmond |
Publisher | : John Wiley & Sons |
Total Pages | : 530 |
Release | : 2001-04-25 |
Genre | : Medical |
ISBN | : 9780471822110 |
The second volume in the Wiley reference series in Biostatistics. Featuring articles from the prestigious Encyclopedia of Biostatistics, many of which have been fully revised and updated to include recent developments, Biostatistics in Clinical Trials also includes up to 25% newly commissioned material reflecting the latest thinking in: Bayesian methods Benefit/risk assessment Cost-effectiveness Ethics Fraud With exceptional contributions from leading experts in academia, government and industry, Biostatistics in Clinical Trials has been designed to complement existing texts by providing extensive, up-to-date coverage and introducing the reader to the research literature. Offering comprehensive coverage of all aspects of clinical trials Biostatistics in Clinical Trials: Includes concise definitions and introductions to numerous concepts found in current literature Discusses the software and textbooks available Uses extensive cross-references helping to facilitate further research and enabling the reader to locate definitions and related concepts Biostatistics in Clinical Trials offers both academics and practitioners from various disciplines and settings, such as universities, the pharmaceutical industry and clinical research organisations, up-to-date information as well as references to assist professionals involved in the design and conduct of clinical trials.