%$$$ Aging by Design: How New Thinking on Aging Will Change Your Life

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Why do we age? How do we age? These questions have baffled scientists for centuries and remain unresolved. The answer to the “how" question is critical to our ability to successfully prevent and treat age-related diseases like cancer and heart disease that now cause the majority of all deaths in the developed world. Because of major difficulties in directly experimentally determining causes of aging, the answer to the “why" question is critical to guiding research efforts directed toward identifying and altering processes involved in age-related diseases.
Evolution theory plays a critical role in the “why" issue because it attempts to explain why each living organism has its particular design and therefore why different species display different aging characteristics and different life spans.
This short book describes the history and current status of attempts to explain why we age extending from Darwin’s 1859 theory to the present day. The author provides colorful and interesting descriptions of the theorists, their theories, the discoveries and the controversies that have led us to the current situation: Although there is very wide scientific agreement about most aspects of evolution theory, four different theories now exist concerning the fine details that apply to aging. These four theories lead to radically different concepts regarding the actual biological mechanisms behind the aging process and consequently the mechanisms behind age-related diseases.
The book goes on to discuss observations and experiments that offer clues as to the nature of biological aging mechanisms. These include apparently non-aging animals, worm experiments, rat blood-exchange experiments, caloric restriction experiments, octopus experiments, and the discovery of genes that cause aging.
Goldsmith then leads us through an analysis that concludes, based on the direct evidence and current status of the evolution theories, that programmed aging is the aging theory that best matches all of the evidence. We age because we are designed to age. We are designed to age because a limited life span conveys an evolutionary benefit. Most current medical researchers believe in non-programmed aging and much of the evidence for programmed aging comes from non-human sources. If the programmed theory of biological aging, first proposed in 1882, is indeed correct, it has major implications regarding the way we think about and seek to prevent or treat age-related diseases. It also suggests that it may well be possible in the relatively near term to generally delay the aging process. Which theory is correct could therefore greatly affect many people now alive! The book describes some current programmed aging researchers, research activities, and results.
A final question is discussed: How could we be living in the twenty-first century and still not have scientific agreement on even the fundamental nature of aging? The author suggests that several “non-science factors" including the sequence in which various theories were developed and the perception that the issue was “academic" have influenced thinking and delayed the development of scientific agreement.
ISBN: 978-0-9788709-3-5
Revised edition 7/2012

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To practice evidence-based medicine, doctors need to understand how research is conducted and be able to critically appraise research evidence. A sound understanding of medical statistics is essential for the correct evaluation of medical research and the appropriate implementation of findings in clinical practice.
Written in an easily accessible style, the Oxford Handbook of Medical Statistics provides doctors and medical students with a concise and thorough account of this often difficult subject. It promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t- and chi-squared tests, to complex multifactor analyses, using examples from published research. References for further reading are given for more information on specific topics.
Helping readers to conduct their own research or critically appraise other's work, this volume provides all the information readers need to understand and interpret medical statistics.

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The Second Edition of this classic introductory-level textbook focuses on analytic activities involving large-population studies, as well as rapid development and application of new statistical methods. This edition contains a section on several new sub-specialties including genetic, pharmaco-, reproductive, and occupational environmental epidemiology.

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This popular book is written by the award-winning teacher, Dr. Leon Gordis of the Bloomberg School of Public Health at Johns Hopkins University. He introduces the basic principles and concepts of epidemiology in clear, concise writing and his inimitable style. This book provides an understanding of the key concepts in the following 3 fully updated sections: Section I: The Epidemiologic Approach to Disease and Intervention; Section II: Using Epidemiology to Identify the Causes of Disease; Section III: Applying Epidemiology to Evaluation and Policy. Clear, practical graphs and charts, cartoons, and review questions with answers reinforce the text and aid in comprehension.

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This book identifies key concepts of successful community-based research beyond the aspect of location, including prevention focus, population-centered partnerships, multidisciplinary cooperation, and cultural competency. Lessons from the Tuskegee Syphilis Study and case studies on HIV/AIDS prevention and cardiovascular risk reduction illustrate the application of research methods with both positive and negative outcomes.

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%$$$ Buy Design and Analysis of Clinical Trials with Time-to-Event Endpoints (Chapman & Hall/CRC Biostatistics Series)

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Using time-to-event analysis methodology requires careful definition of the event, censored observation, provision of adequate follow-up, number of events, and independence or "noninformativeness" of the censoring mechanisms relative to the event. Design and Analysis of Clinical Trials with Time-to-Event Endpoints provides a thorough presentation of the design, monitoring, analysis, and interpretation of clinical trials in which time-to-event is of critical interest. After reviewing time-to-event endpoint methodology, clinical trial issues, and the design and monitoring of clinical trials, the book focuses on inferential analysis methods, including parametric, semiparametric, categorical, and Bayesian methods; an alternative to the Cox model for small samples; and estimation and testing for change in hazard. It then presents descriptive and graphical methods useful in the analysis of time-to-event endpoints. The next several chapters explore a variety of clinical trials, from analgesic, antibiotic, and antiviral trials to cardiovascular and cancer prevention, prostate cancer, astrocytoma brain tumor, and chronic myelogonous leukemia trials. The book then covers areas of drug development, medical practice, and safety assessment. It concludes with the design and analysis of clinical trials of animals required by the FDA for new drug applications. Drawing on the expert contributors’ experiences working in biomedical research and clinical drug development, this comprehensive resource covers an array of time-to-event methods and explores an assortment of real-world applications.

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Best Designing Randomised Trials in Health, Education and the Social Sciences: An Introduction

Designing Randomised Trials in Health, Education and the Social Sciences: An Introduction by Palgrave Macmillan

Policy makers are increasingly demanding evidence from randomized trials. The book focuses on the design of rigorous trials rather than their statistical underpinnings or analyses. Consequently, statistical theory is absent and statistical methods are minimal. Few other texts go into such detailed description about randomization procedures and different trial designs within the same volume. The book has chapters on: pragmatic designs; placebo designs; preference approaches; unequal allocation; economics; analytical approaches; randomization methods.

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