This easy-to-read reference book provides a practical approach for dealing with the legal and regulatory compliance issues involved in human research. Covering a broad range of topics, such as consent, confidentiality, subject recruitment and selection, the role of the investigator and Institutional Review Board, it offers timely and useful strategies for achieving regulatory compliance while reducing liability. In addition, insurance, quality management, accreditation, and risk management are topics examined in the book. The practical insights found in this volume are not found in other books on the subject. Clinical Trials and Human Research is a practical tool to help anyone involved in clinical research.

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.

On March 3-4, 2016, the National Academies of Sciences, Engineering, and Medicine's Forum on Neuroscience and Nervous System Disorders held a workshop in Washington, DC, bringing together key stakeholders to discuss opportunities for improving the integrity, efficiency, and validity of clinical trials for nervous system disorders. Participants in the workshop represented a range of diverse perspectives, including individuals not normally associated with traditional clinical trials. The purpose of this workshop was to generate discussion about not only what is feasible now, but what may be possible with the implementation of cutting-edge technologies in the future.

In a workshop organized by the Clinical Research roundtable, representatives from purchaser organizations (employers), payer organizations (health plans and insurance companies), and other stakeholder organizations (voluntary health associations, clinical researchers, research organizations, and the technology community) came together to explore: What do purchasers and payers need from the Clinical Research Enterprise? How have current efforts in clinical research met their needs? What are purchasers, payers, and other stakeholders willing to contribute to the enterprise? This book documents these discussions and summarizes what employers and insurers need from and are willing to contribute to clinical research from both a business and a national health care perspective.

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.

This volume, which has developed from the Fourteenth Trans Disciplinary Symposium on Philosophy and Medicine, September 5-8, 1982, at Tel Aviv University, Israel, contains the contributions of a group of distinguished scholars who together examine the ethical issues raised by the advance of biomedical science and technology. We are, of course, still at the beginning of a revolution in our understanding of human biology; scientific medicine and clinical research are scarcely one hundred years old. Both the sciences and the technology of medicine until ten or fifteen years ago had the feeling of the 19th century about them; we sense that they belonged to an older time; that era is ending. The next twenty-five to fifty years of investigative work belong to neurobiology, genetics, and reproductive biology. The technologies of information processing and imaging will make diagnosis and treatment almost incomprehensible by my generation of physicians. Our science and technology will become so powerful that we shall require all of the art and wisdom we can muster to be sure that they remain dedicated, as Francis Bacon hoped four centuries ago, "to the uses of life." It is well that, as philosophers and physicians, we grapple with the issues now when they are relatively simple, and while the pace of change is relatively slow. We require a strategy for the future; that strategy must be worked out by scientists, philosophers, physicians, lawyers, theologians, and, I should like to add, artists and poets.

Regulatory bodies such as the European Medicine Agency have done tremendous work in collaboration with experts from the field to develop Good Clinical Practices that apply not only in Europe but also in emerging countries. Designed to be a teaching aid and reference guide, A Practical Guide to Human Research and Clinical focuses on ethics, regulations, and guidelines. Conducting a successful clinical trial requires not only a strong basic knowledge, but also hands-on practical training. The book explains the intricate details of the subject to readers by citing concrete cases, exercises, and templates along with the theoretical aspects. Prof. M.U.R Naidu and his co-authors address all aspects of clinical trials from clinical research, drug development, and quality to methodology, biostatistics, and pharmacovigilance.