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evidence-based verpleegkunde --- vroedkunde --- 614.7 --- Vroedkunde --- Bevalling --- vroedvrouwen --- bevalling --- bevallingswijzen --- Physiology: reproduction & development. Ages of life --- Gynaecology. Obstetrics --- geboorte --- Verloskunde --- Gynaecologie --- Midwifery --- Evidence-based medicine --- Childbirth --- Labor (Obstetrics) --- Birth --- Obstetric labor --- Obstetrics --- Pregnancy --- Delivery (Obstetrics) --- EBM (Medicine) --- Evidence-based healthcare --- Clinical medicine --- Systematic reviews (Medical research) --- Birthing --- Child birth --- Live birth --- Parturition --- Decision making
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Following the classical sampling theory, the survey statistician selects samples of people, businesses or others, in order to obtain the desired information. Drawing the samples is usually done by randomly selecting from a list representing the target population. In practice, this list is often not available. At best, the statistician only has access to a different list, indirectly related to the targeted population. The example of a survey of children where the statistician only has a list of adult persons is a typical case. In this case, the statistician first draws a sample of adults, and for each selected adult, the statistician then identifies his/her children. The survey is done from the latter. This is what is called indirect sampling. When indirect sampling is used jointly with the sampling of clusters of persons (families, for example), many complications arise for the survey statistician. One of the complications relates to the computation of the estimates from the survey. The production of estimates of simple totals or means can then become nightmares for the survey statistician. To solve this problem, the author proposes a simple solution, easy to implement, that is called the generalised weight share method. This book is the reference on indirect sampling and the generalised weight share method. It contains the different developments done by the author on these subjects. The theory surrounding them is presented, but also different possible applications that drive its interest. The reader will find in this book the answer to questions that come, inevitably, when working in a context of indirect sampling. Pierre Lavallée has been a survey statistician at Statistics Canada since 1985. He gas worked in social, business, and agricultural surveys. He has also worked for Eurostat in Luxembourg.
Mathematical statistics --- Statistics. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Statistical Theory and Methods. --- Population Economics. --- Quality of Life Research. --- Demography. --- Methodology of the Social Sciences. --- Quality of Life. --- Mathematical statistics. --- Population. --- Social sciences --- Quality of Life --- Statistique --- Statistique mathématique --- Population --- Sciences sociales --- Démographie --- Methodology. --- Research. --- Méthodologie --- Sampling (Statistics) --- 519.2 --- Probability. Mathematical statistics --- Mathematics. --- Sampling (Statistics). --- Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- 519.2 Probability. Mathematical statistics --- Random sampling --- Statistics of sampling --- Medical research. --- Social sciences. --- Quality of life. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Historical demography --- Vital statistics --- Life, Quality of --- Economic history --- Human ecology --- Life --- Social history --- Basic needs --- Human comfort --- Social accounting --- Work-life balance --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Human population --- Human populations --- Population growth --- Populations, Human --- Economics --- Sociology --- Demography --- Malthusianism --- Biomedical research --- Medical research --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistics --- Statistics for Social Sciences, Humanities, Law. --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Statistics .
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Randomized clinical trials are the gold standard for establishing many clinical practice guidelines and are central to evidence based medicine. Obtaining the best evidence through clinical trials must be done within the boundaries of rigorous science and ethical principles. One fundamental principle is that trials should not continue longer than necessary to reach their objectives. Therefore, trials must be monitored for recruitment progress, quality of data, adherence to patient care or prevention standards, and early evidence of benefit or harm. Frequently, a group of external experts, independent from the investigators and trial sponsor, is charged with this monitoring responsibility, especially for safety and early benefit. This group is referred to by various names, such as a data monitoring committee or a data and safety monitoring board. This book, through a series of case studies presented by many distinguished clinical trial experts, illustrates the complexity of this monitoring process. The editors provide an overview of the process and a summary of a multitude of the lessons learned from the cases presented. This book should be useful to anyone serving on a data and safety monitoring board, or planning to do so, for colleagues in academia, industry and governmental agencies, and for teaching students in biostatistics, epidemiology, clinical trials and medical ethics. No other text has as extensive a collection of cases which provide insight into the many issues, often conflicting, that must be examined before recommendations to continue or discontinue a trial can be made. While depth in statistical methods is not required, some familiarity with statistical design and analysis issues in clinical trials is helpful. The cases cover trials which were terminated early for convincing evidence of benefit, or for harmful effects. Cases with complex issues are also included. This series of cases should provide broad background information for potential monitoring committee members and better prepare them for the challenges that may exist in the trials for which they are responsible. The three editors have contributed two overview chapters as well as several case studies to go along with cases contributed by a distinguished group of colleagues experienced in the design, monitoring and analysis of clinical trials. Dr. David DeMets is currently Professor and Chair, Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison. He is past president of the Eastern North American Region (ENAR) of the International Biometric Society, a past member of the Board of Directors of the American Statistical Association and an elected Fellow. He recently received the Robert Gordon Lectureship Award, given by the National Institutes of Health, for significant contributions to the field of clinical trials. Dr. Curt Furberg, is currently Professor (and former Chair) of the Department of Public Health Sciences at Wake Forest University. Previously, he was Head of the Clinical Trials Branch and Associate Director of the Clinical Applications and Prevention Program at the National Heart, Lung, and Blood Institute. Dr. Lawrence Friedman is a former Director of the Division of Epidemiology and Clinical Applications and a former Assistant Director for Ethics and Clinical Research at the National Heart, Lung, and Blood Institute. All three are past presidents of the Society of Clinical Trials. The editors have collaborated previously as coauthors of a text: the Fundamentals of Clinical Trials.
Biomathematics. Biometry. Biostatistics --- medische statistiek --- biostatistiek --- Clinical Trials --- Automatic Data Processing. --- Clinical trials --- Etudes cliniques --- Case Reports. --- Data processing. --- Case studies. --- Informatique --- Cas, Etudes de --- Clinical trials - Data processing. --- Controlled Clinical Trials as Topic --- Research --- Professional Staff Committees --- Clinical Trials as Topic --- Quality Assurance, Health Care --- Science --- Natural Science Disciplines --- Health Care Quality, Access, and Evaluation --- Epidemiologic Study Characteristics as Topic --- Evaluation Studies as Topic --- Health Care --- Epidemiologic Methods --- Disciplines and Occupations --- Health Care Evaluation Mechanisms --- Investigative Techniques --- Quality of Health Care --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Public Health --- Environment and Public Health --- Randomized Controlled Trials as Topic --- Biomedical Research --- Clinical Trials Data Monitoring Committees --- Mathematics --- Medicine --- Physical Sciences & Mathematics --- Health & Biological Sciences --- Mathematical Statistics --- Medical Research --- Data processing --- Statistics. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistics .
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Recognizing the clinician's need for quick access to a comprehensive and immediately useful presentation of evidence-based material, the authors and editors have condensed the research on the most common otorhinolaryngological complaints into this indispensable volume. Their unique approach color-codes the level of research backing each set of evidence in order to make assessment of the evidence as quick and useful as possible. Each clinical problem is presented with a "color key," letting the physician know the level of evidence available: green (high-level evidence), yellow (low–moderate levels of evidence), or red (major disagreement or only minimal low-level evidence). The content of each chapter is structured in the same manner so the reader quickly becomes accustomed to finding precisely the information needed for each new case. Featuring sections on general otolaryngology, head and neck surgery, pediatrics, and otology, Evidence-Based Otolaryngology not only presents the research, but gives the clinician immediately applicable recommendations for patient treatment.
Medicine & Public Health. --- Otorhinolaryngology. --- Allergology. --- General Practice / Family Medicine. --- Primary Care Medicine. --- Medicine. --- Allergy. --- Family medicine. --- Emergency medicine. --- Médecine --- Allergie --- Médecine familiale --- Médecine d'urgence --- Otolaryngology. --- Otorhinolaryngologic diseases. --- Evidence-Based Medicine --- Otorhinolaryngologic Diseases --- Otorhinolaryngologic Surgical Procedures --- Diseases --- Surgical Procedures, Operative --- Evidence-Based Practice --- Clinical Medicine --- Health Occupations --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Medicine --- Disciplines and Occupations --- Otorhinolaryngology --- Health & Biological Sciences --- Evidence-based medicine. --- Ear, nose, and throat diseases --- ENT diseases --- EBM (Medicine) --- Evidence-based healthcare --- General practice (Medicine). --- Primary care (Medicine). --- Clinical medicine --- Systematic reviews (Medical research) --- Decision making --- Medicine, Emergency --- Critical care medicine --- Disaster medicine --- Medical emergencies --- Family practice (Medicine) --- General practice (Medicine) --- Physicians (General practice) --- Allergic diseases --- Allergies --- Hypersensitivity --- Hypersensitivity, Immediate --- Immediate allergy --- Immediate hypersensitivity --- Immunologic diseases --- Immunoglobulin E --- Primary medical care --- Medical care
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Complement has long been regarded as a pivotal effector arm of the innate immune response, eliciting important immunoregulatory functions in the context of inflammation and also serving as a vital link between the innate and adaptive immune response. In the post-genomic era, our knowledge of the innate immune system is enriched by findings that point to novel functions that do not strictly correlate with immunological defense and surveillance, immune modulation or Inflammation. Several studies indicate that complement proteins exert functions that are either more complex than previously thought, or go well beyond the innate immune character of the system. The advent of high-throughput platforms for genome and proteome-wide profiling, together with the enormous amount of raw genetic information that has accumulated in the databases, have stirred new expectations in biomedical research. They have led complementologists to revisit established biological systems, such as the complement system, from a global and integrative perspective. Complement research is now faced with the challenge of trying to integrate isolated biochemical pathways into complex gene and protein regulatory circuits. In this respect, scientists from around the world convened at the Fourth Aegean Conferences Workshop on Complement Associated Diseases, Animal Models, and Therapeutics (June 10-15, 2007), to discuss recent advances in this fast evolving field. This volume represents a collection of topics on the “novel” functions of complement, patho-physiology, protein structures, design of complement inhibitors, and complement assays discussed during the conference.
Biomedicine. --- Immunology. --- Microbiology. --- Infectious Diseases. --- Pathology. --- Medicine. --- Emerging infectious diseases. --- Médecine --- Immunologie --- Maladies infectieuses émergentes --- Pathologie --- Microbiologie --- Complement (Immunology) -- Congresses. --- Complement (Immunology). --- Complement (Immunology) --- Immunoproteins --- Immune System Processes --- Publication Formats --- Blood Proteins --- Publication Characteristics --- Immune System Phenomena --- Proteins --- Phenomena and Processes --- Amino Acids, Peptides, and Proteins --- Chemicals and Drugs --- Complement System Proteins --- Congresses --- Complement Activation --- Medicine --- Biology --- Health & Biological Sciences --- Medical Research --- Microbiology & Immunology --- Natural immunity --- Disease resistance --- Host resistance --- Innate immunity --- Innate resistance --- Native immunity --- Natural resistance --- Nonspecific immunity --- Resistance to disease --- Alexin --- Complements (Immunity) --- Infectious diseases. --- Microbial biology --- Microorganisms --- Disease (Pathology) --- Medical sciences --- Diseases --- Medicine, Preventive --- Immunobiology --- Life sciences --- Serology --- Clinical sciences --- Medical profession --- Human biology --- Pathology --- Physicians --- Immunity --- Blood proteins --- Emerging infections --- New infectious diseases --- Re-emerging infectious diseases --- Reemerging infectious diseases --- Communicable diseases
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