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Immunocytochemistry is a microscopic method that uses antibodies to localize proteins in tissue sections and cell cultures. Dr. Burry's book is the first practical guide to planning, performing, and evaluating immunocytochemical experiments designed for novice immunocytochemists. This book's predominant orientation is academic, focusing only on the most productive methods, with a primary emphasis on animal-based research tissues. The clear descriptions of the methods are easily followed and the specific design charts show how to plan an experiment. Included are a series of experimental cases exploring actual mistakes that demonstrate the approaches presented. Immunocytochemistry is no longer considered a specialized technique - Immunocytochemistry: A Practical Guide for Biomedical Research showcases this mainstream morphological approach in an accessible and exciting manner.

Immunohistochemistry --- Biomedical Research --- Immune System Phenomena --- Models, Animal --- Immunocytochemistry --- Immunology --- methods --- Methodology --- Animal models --- EPUB-LIV-FT LIVBIOLO LIVBIOMO LIVMEDEC SPRINGER-B --- Biomedical Research. --- Immune System Phenomena. --- Models, Animal. --- methods.

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The coronins, first described in Dictyostelium discoideum in 1991, have been detected in all eukaryotes except plants. They belong to the superfamily of WD40-repeat proteins and represent a large family of proteins, which are often involved in cytoskeletal functions. Phylogenetic studies clearly distinguish 12 subfamilies of which six exclusively occur in vertebrates. In the present book we have made a sincere attempt to provide a comprehensive overview on all aspects of coronin proteins including history, structure, subcellular localization and function in different organisms. In addition, we

Microfilament proteins. --- Actin-binding proteins --- Cytoskeletal proteins --- Exoelectron emission. --- Solids --- Thermally stimulated currents. --- Thermal properties. --- Electronics and optics of solids --- 538.9 --- 538.9 Physics of condensed matter (in liquid state and solid state) --- Physics of condensed matter (in liquid state and solid state) --- Medicine. --- Biomedicine general. --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Health Workforce --- Monograph --- Biomedicine, general. --- Medicine --- Biology --- Biomedical Research. --- Research. --- Biological research --- Biomedical research

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The present study pursues the hypothesis that local compressive force and the occurrence of cartilage-specific transformation processes within tendons and ligaments are directly correlated. In selected anatomical samples of human origin the distribution pattern of certain components of the extracellular matrix is assessed. Investigations are carried out at the extensor tendons of toes and fingers, at the transverse ligament of the atlas, at the transverse ligament of the acetabulum, and at the tendon of the superior oblique muscle and its trochlea. The molecular components of the extracellular matrix are detected with standardized immunohistochemical methods. The results show that certain molecules only occur due to compressive stress, others due to tensile stress. The molecular spectrum of the extracellular matrix allows qualifying conclusions to the mechanical situation of a given part of the tissue. The spatial expansion of the fibrocartilaginous adaptation zones in tendons and ligaments roughly corresponds with the zones subjected to compressive force; tensile stress alone does not result in a production of fibrocartilage.

Human biochemistry --- medische biochemie --- Connective tissues --- Connective Tissue --- Extracellular Matrix --- Stress, Mechanical --- Mechanical properties --- physiology --- Anatomy. --- Cell Biology. --- Embryology. --- Embryologies --- Cellular Biology --- Cytology --- Biologies, Cell --- Biologies, Cellular --- Biology, Cell --- Biology, Cellular --- Cell Biologies --- Cellular Biologies --- Anatomies --- Periodicals --- Anatomy --- Embryology --- Life Sciences --- Zoology --- Cytology. --- MDANATOM --- Cell Biology --- Anatomie --- Embryologie --- Cytologie --- periodicals --- periodicals. --- Périodiques --- MDANATOM MDEMBRYO MDCYTOLO --- Extracellular matrix. --- Mechanical properties. --- Medicine. --- Biomedicine general. --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Health Workforce --- Periodicals. --- Biomedicine, general. --- Morphology --- Medicine --- Biology --- Biomedical Research. --- Research. --- Biological research --- Biomedical research

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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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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 .