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Bioéthique. --- Bioéthique --- Éthique médicale. --- Médecine clinique --- Études cliniques --- Coopération médicale. --- Bioéthique --- Droit --- Aspect moral. --- Acte de congrès.
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"This Fourth Edition builds on the text's reputation as a straightforward, detailed, and authoritative presentation of quantitative methods for clinical trials. Readers will encounter principles of design for various types of clinical trials and are then skillfully guided through the complete process of planning the experiment, assembling a study cohort, assessing data, and reporting results. Throughout the process, the author alerts readers to problems that may arise during the course of a trial and provides common sense solutions. The Fourth Edition greatly expands its coverage, ranging from statistical principles to new and provocative topics, including four new chapters on generalizing results, operating characteristics, trial issues during the COVID-19 pandemic, and clinical trials using so-called "real world" data. Existing topics have been updated and expanded such as alternative medicine, ethics, middle development, comparative studies, and adaptive designs. Readers familiar with prior editions will discover revamped exercise sets; an updated and extensive reference section; new material on endpoints and the developmental pipeline, among others; and revisions of numerous sections."--
Clinical trials --- Clinical Trials as Topic --- Research Design --- Statistics as Topic --- Études cliniques --- Clinical trials --- Statistical methods. --- methods --- methods --- Méthodes statistiques. --- Statistical methods
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1. L'essai clinique contrôlé moderne - 2. La médecine des preuves aux Etats-Unis - 3. La médecine des preuves en Angleterre - 4. Un bilan des essais cliniques contrôlés - Cadre public ou cadre privé? - Conclusion - Bibliographie
Evidence-Based Medicine --- Clinical Trials as Topic --- Cross-Over Studies --- History of Medicine --- Therapeutic Human Experimentation --- history --- Études croisées --- Études cliniques --- Médecine factuelle. --- Thérapeutique expérimentale --- Crossover trials --- Clinical trials --- Evidence-based medicine. --- Therapeutics, Experimental --- Médecine basée sur les preuves --- Histoire. --- History. --- Études cliniques. --- Médecine basée sur les preuves. --- Wetenschappelijke verenigingen : Centrum voor Evidence Based Medicine --- Associations scientifiques : Centre d'evidence based medicine --- Clinical Trials as Topic - history --- Cross-Over Studies - history --- Therapeutic Human Experimentation - history --- Randomized Controlled Trials as Topic --- Études croisées --- Études cliniques --- Médecine factuelle. --- Thérapeutique expérimentale --- Études cliniques. --- Médecine basée sur les preuves.
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Written for clinicians and biostatisticians, describes nonparametric and quasiparametric (regression) methods of analyzing survivorship data in clinical studies, emphasizing the interpretation and reasoning behind the methods. Explains the established methods for summarizing the results of the major.
Mathematical statistics --- Biometry --- Survival Analysis --- Survival Rate --- Clinical trials --- Survival analysis (Biometry) --- Etudes cliniques --- Analyse de la survie (Biométrie) --- methods --- Clinical trials. --- Survival Analysis. --- Survival Rate. --- methods. --- Études cliniques --- Analyse de survie (biométrie) --- Analyse de la survie (Biométrie) --- Études cliniques. --- Monograph --- Biometry - methods. --- Études cliniques. --- Analyse de survie (biométrie)
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This book provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but these innovations are insufficiently applied in medical research. Old-fashioned, data hungry methods are often used in data sets of limited size, validation of predictions is not done or done simplistically, and updating of previously developed models is not considered. A sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. Clinical prediction models presents a practical checklist with seven steps that need to be considered for development of a valid prediction model. These include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formats. The steps are illustrated with many small case-studies and R code, with data sets made available in the public domain. The book further focuses on generalizability of prediction models, including patterns of invalidity that may be encountered in new settings, approaches to updating of a model, and comparisons of centers after case-mix adjustment by a prediction model. The text is primarily intended for clinical epidemiologists and biostatisticians. It can be used as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. It is beneficial if readers are familiar with common statistical models in medicine: linear regression, logistic regression, and Cox regression. The book is practical in nature. But it provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. In this era of evidence-based medicine, randomized clinical trials are the basis for assessment of treatment efficacy. Prediction models are key to individualizing diagnostic and treatment decision making. Ewout Steyerberg (1967) is Professor of Medical Decision Making, in particular prognostic modeling, at Erasmus MC-University Medical Center Rotterdam, the Netherlands. His work on prediction models was stimulated by various research grants including a fellowship from the Royal Netherlands Academy of Arts and Sciences. He has published over 250 peer-reviewed articles in collaboration with many clinical researchers, both in methodological and medical journals.
Biomathematics. Biometry. Biostatistics --- medische statistiek --- biostatistiek --- Models, Statistical. --- Prognosis. --- Regression Analysis. --- Medical statistics. --- Medicine --- Evidence-based medicine --- Clinical trials --- Regression analysis. --- Statistique médicale --- Médecine --- Etudes cliniques --- Analyse de régression --- Research --- Statistical methods. --- Recherche --- Méthodes statistiques --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- Medical statistics --- Regression Analysis --- Statistical methods --- Analyse de régression. --- Études cliniques --- Médecine fondée sur la preuve --- Médecine --- Statistiques médicales. --- Statistiques. --- Statistiques et données numériques. --- Medicine - Research - Statistical methods --- Evidence-based medicine - Statistical methods --- Clinical trials - Statistical methods
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When is clinical research in developing countries exploitation? Exploitation is a concept in ordinary moral thought that has not often been analyzed outside the Marxist tradition. Yet it is commonly used to describe interactions that seem morally suspect in some way. A case in point is clinical research sponsored by developed countries and carried out in developing countries, with participants who are poor and sick, and lack education. Such individuals seem vulnerable to abuse. But does this, by itself, make such research exploitative? Exploitation and Developing Countries is an attempt by philosophers and bioethicists to reflect on the meaning of exploitation, to ask whether and when clinical research in developing countries counts as exploitative, and to consider what can be done to minimize the possibility of exploitation in such circumstances. These reflections should interest clinical researchers, since locating the line between appropriate and inappropriate use of subjects--the line between exploitation and fair use--is the central question at the heart of research ethics. Reflection on this rich and important moral concept should also interest normative moral philosophers of a non-Marxist bent. In addition to the editors, the contributors are Richard J. Arneson, Alisa L. Carse, Margaret Olivia Little, Thomas Pogge, Andrew W. Siegel, and Alan Wertheimer.
Clinical trials --- Moral and ethical aspects --- Controlled clinical trials --- Patient trials of new treatments --- Randomized clinical trials --- Trials, Clinical --- Études cliniques --- Pulmonary Surfactants. --- Human Experimentation --- Hepatitis A Vaccines. --- Developing Countries. --- Clinical Trials as Topic --- Developing Nations --- Least Developed Countries --- Less-Developed Nations --- Third-World Nations --- Under-Developed Nations --- Less-Developed Countries --- Third-World Countries --- Under-Developed Countries --- Countries, Developing --- Countries, Least Developed --- Countries, Less-Developed --- Countries, Third-World --- Countries, Under-Developed --- Country, Developing --- Country, Least Developed --- Country, Less-Developed --- Country, Third-World --- Country, Under-Developed --- Developed Countries, Least --- Developed Country, Least --- Developing Country --- Developing Nation --- Least Developed Country --- Less Developed Countries --- Less Developed Nations --- Less-Developed Country --- Less-Developed Nation --- Nation, Less-Developed --- Nation, Third-World --- Nation, Under-Developed --- Nations, Developing --- Nations, Less-Developed --- Nations, Third-World --- Nations, Under-Developed --- Third World Countries --- Third World Nations --- Third-World Country --- Third-World Nation --- Under Developed Countries --- Under Developed Nations --- Under-Developed Country --- Under-Developed Nation --- Havrix --- Hepatitis A Vaccine --- Hepatovirus Vaccines --- Vaqta --- Vaccine, Hepatitis A --- Vaccines, Hepatitis A --- Vaccines, Hepatovirus --- Pulmonary Surfactant --- Surfactant, Pulmonary --- Surfactants, Pulmonary --- Surface-Active Agents --- Clinical medicine --- Human experimentation in medicine --- Aspect social --- ethics. --- Research --- Developing Countries --- Hepatitis A Vaccines --- Pulmonary Surfactants --- Études cliniques --- ethics --- Clinical trials - Moral and ethical aspects - Developing countries --- Clinical Trials as Topic - ethics --- Human Experimentation - ethics --- Études cliniques - Aspect social - Pays en voie de développement
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