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Robust Methods in Biostatistics
Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used to describe data are only approximate. Its basic philosophy is to produce statistical procedures which are stable when the data do not exactly match the postulated models as it is the case for example with outliers. Robust Methods in Biostatistics proposes robust alternatives to common methods used in statistics in general and in biostatistics in particular and illustrates their use on many biomedical datasets. The methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following gene...
Statistics Workbook for Evidence-based Health Care
This concise, easy to understand and learner-friendly book invitesthe readers to actively particpate in the understanding of medicalstatistical concepts that are frequently used in health careresearch and evidence-based practice worldwide. Knowing that the best way to learn statistical concepts is touse them, the authors employ real examples and articles from healthscience literature, complete with the complexities that real lifepresents, in an approach that will help bring researchers andclinicians one step closer towards being statistical savvy andbetter able to critically read research literature and interpretthe results. A practical hands-on workbook for individual or groupexercises Teaches how to understand statistical methods when readingjournals, and how to use them in clinical research Emphasizes the use of statistics in evidence-basedresearch Relevant for anyone needing to use statistics, this workbook isan ideal resource for all health care professionals and students,especially those learning and practising evidence-basedmedicine.
Evidence-Based Medical Monitoring
Monitoring is a major component of management of chronic diseases such as diabetes, cardiovascular disease, arthritis and depression. Yet poor monitoring means healthcare costs are rising. This book discusses how monitoring principles adopted in other spheres such as clinical pharmacology and evidence-based medicine can be applied to chronic disease in the global setting. With contributions from leading experts in evidence-based medicine, it is a ground-breaking text for all involved in delivery of better and more effective management of chronic illnesses.
The Biological Consequences of Socioeconomic Inequalities
Social scientists have repeatedly uncovered a disturbing feature of economic inequality: people with larger incomes and better education tend to lead longer, healthier lives. This pattern holds across all ages and for virtually all measures of health, apparently indicating a biological dimension of inequality. But scholars have only begun to understand the complex mechanisms that drive this disparity. How exactly do financial well-being and human physiology interact? The Biological Consequences of Socioeconomic Inequalities incorporates insights from the social and biological sciences to quantify the biology of disadvantage and to assess how poverty gets under the skin to impact health. Draw...
Statistical Intervals
Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses. Vastly improved computer capabilities over the past 25 years have resulted in an explosion of the ...
Ethics and Sustainability in Accounting and Finance, Volume III
This book continues the discussion on recent developments relating to ethical and sustainable issues in accounting and finance from the book , Volumes I and II, looking into topics such as the importance of good governance in accounting, tax, auditing and fraud examination, ethics, sustainability, environmental issues and new technologies and their effects on accounting and finance, focusing in particular on environmental and sustainability reporting in the oil and gas and banking sectors. The book also considers the growing importance of audit quality in this time of the COVID-19 pandemic.
Journal of the American Statistical Association
A scientific and educational journal not only for professional statisticians but also for economists, business executives, research directors, government officials, university professors, and others who are seriously interested in the application of statistical methods to practical problems, in the development of more useful methods, and in the improvement of basic statistical data.
New Trends in Intelligent Software Methodologies, Tools and Techniques
Knowledge-based systems, fully integrated with software, have become essential enablers for both science and commerce. But current software methodologies, tools and techniques are not robust or reliable enough for the demands of a constantly changing and evolving market, and many promising approaches have proved to be no more than case-oriented methods that are not fully automated. This book presents the proceedings of the 17th international conference on New Trends in Intelligent Software Methodology, Tools and Techniques (SoMeT18) held in Granada, Spain, 26-28 September 2018. The SoMeT conferences provide a forum for the exchange of ideas and experience, foster new directions in software d...
Essentials of a Successful Biostatistical Collaboration
The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc.
