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A Chronicle of Permutation Statistical Methods
The focus of this book is on the birth and historical development of permutation statistical methods from the early 1920s to the near present. Beginning with the seminal contributions of R.A. Fisher, E.J.G. Pitman, and others in the 1920s and 1930s, permutation statistical methods were initially introduced to validate the assumptions of classical statistical methods. Permutation methods have advantages over classical methods in that they are optimal for small data sets and non-random samples, are data-dependent, and are free of distributional assumptions. Permutation probability values may be exact, or estimated via moment- or resampling-approximation procedures. Because permutation methods are inherently computationally-intensive, the evolution of computers and computing technology that made modern permutation methods possible accompanies the historical narrative. Permutation analogs of many well-known statistical tests are presented in a historical context, including multiple correlation and regression, analysis of variance, contingency table analysis, and measures of association and agreement. A non-mathematical approach makes the text accessible to readers of all levels.
Assessment and Evaluation of Health and Medical Care
A comprehensive methods text describing the variety of approaches available in the assessment and evaluation of health and medical care. The text not only describes the principles of randomized controlled trials, case control studies, cohort studies and social surveys but also the value of qualitative methods in gaining an understanding of healthcare. Chapters are also included on the principles and problems of measuring outcomes in terms of patient satisfaction and quality of life, and assessing the economic value of treatments. The specific methodological problems of screening are discussed, and a final chapter outlines the issues surrounding meta-analysis and systematic reviews.
Field Guide for the Determination of Biological Contaminants in Environmental Samples
This second edition of AIHA's Field Guide incorporates the most recent findings and research that reflect prevailing occupational health and safety and industrial hygiene practices. Its nine chapters provide the most current solutions to problems facing professionals working with biological contaminants. This guide serves as an academic and professional reference.
Regression Modeling Strategies
This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasises problem solving strategies that address the many issues arising when developing multi-variable models using real data and not standard textbook examples. Regression Modelling Strategies presents full-scale case studies of non-trivial data-sets instead of over-simplified illustrations of each method. These case studies use freely available R...
Qualitative Methods In Psychology: A Research Guide
"This book provides an introduction to four widely used qualitative research methods, followed by a detailed discussion of a pluralistic approach to qualitative research…makes exceellent use of questions both in order to help the reader gain clarity as well as to encourage reflexivity"The Psychologist, May 2012
Regression Modeling Strategies
Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Return to Work After Coronary Artery Bypass Surgery
When I gave a presentation on return to work after heart valve replacement at the Tenth Congress of the German Society for Thoracic and Cardiovascular Surgery in 1981, I was surprised by the relatively low level of interest that cardiac surgeons seemed to have in this subject. This stimulated me to intensify my research in this area and to extend it to patients with coron ary heart disease. Obviously, physiological and mechanical aspects of medical treatment are of special interest to the surgeon. For the majority of cardiac surgical patients, that is those with coronary heart disease, the technical problems of the operative procedure have been solved to a great extent. Many studies have demonstrated that, aside from reduction of symptoms, aortocoronary bypass operation can lead to improvement of cardiac performance un der stress conditions. However in spite of the technical solutions to hemodynamic problems, it has become very clear that the reintegration of patients into their social sphere has not been accomplished to the extent that might be expected, as exempli fied by the relatively low rate of postoperative return to work.
Drug Use in Prisoners
This edited volume provides the first ever comprehensive, international and multi-disciplinary review of the evidence regarding substance use and harms in people who cycle through prisons and jails. Grounded in solid evidence and a human rights framework, the text provides a roadmap for evidence-based reform
Skin Carcinogenesis in Man and in Experimental Models
The detection of cancer risk factors and their possible avoid ance would most effectively contribute to the fight against cancer. Research in these areas depends to a substantial degree on in vivo experimental animal models and on epide miologic studies, including data from cancer registries. When the Deutsches Krebsforschungszentrum was founded in 1964, its division "Mechanisms of Tumorigenesis" and a number of other divisions became engaged in research on chemical carcinogenesis of the skin, mainly using the mouse skin as an experimental model. Their interest orig inated in part from investigations of the new and at that time controversial pathogenic principle of conditional car cinogens a...
Operations Research and Health Care
In both rich and poor nations, public resources for health care are inadequate to meet demand. Policy makers and health care providers must determine how to provide the most effective health care to citizens using the limited resources that are available. This chapter describes current and future challenges in the delivery of health care, and outlines the role that operations research (OR) models can play in helping to solve those problems. The chapter concludes with an overview of this book – its intended audience, the areas covered, and a description of the subsequent chapters. KEY WORDS Health care delivery, Health care planning HEALTH CARE DELIVERY: PROBLEMS AND CHALLENGES 3 1.1 WORLDWIDE HEALTH: THE PAST 50 YEARS Human health has improved significantly in the last 50 years. In 1950, global life expectancy was 46 years [1]. That figure rose to 61 years by 1980 and to 67 years by 1998 [2]. Much of these gains occurred in low- and middle-income countries, and were due in large part to improved nutrition and sanitation, medical innovations, and improvements in public health infrastructure.
