Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Sepsis is a multi-factorial disease process and this volume provides comprehensive and in-depth reviews of both the basic science and more practical aspects of patient management. These include detailed information on the epidemiology and genetics of sepsis as well as the metabolic and cardiovascular responses to infection. Infectious disease, in relation to sepsis, is well covered including chapters on unusual/exotic infections, control of infection and the rational use of antibiotics. Haematological aspects of sepsis are also reviewed in detail. Further chapters focus on the currently controversial areas of clinical trial design in sepsis and protocol-driven care. A specific chapter, with illustrated cases, draws practical lessons and offers useful management "tips". The patient with sepsis provides a major challenge to the hospital acute team and septic shock is the commonest cause of admission to General Critical Care Units in the industrialised world. The incidence of sepsis is also increasing, in part due to the more complex patient case mix which is a feature of modern hospital practice. This volume is useful to both trainees in Critical Care and Anaesthesia as well as Infectious Disease and General Medical trainees. It also provides qualified practitioners in these fields with a comprehensive resource on sepsis-related topics.

Medicine & Public Health. --- Infectious Diseases. --- Health Promotion and Disease Prevention. --- Anatomy. --- Dermatology. --- Pneumology/Respiratory System. --- Medicine. --- Human anatomy. --- Emerging infectious diseases. --- Pneumology. --- Médecine --- Anatomie humaine --- Dermatologie --- Maladies infectieuses émergentes --- Bloodborne infections. --- Sepsis. --- Septicemia. --- Septicemia --- Infection --- Systemic Inflammatory Response Syndrome --- Inflammation --- Bacterial Infections and Mycoses --- Pathologic Processes --- Diseases --- Pathological Conditions, Signs and Symptoms --- Sepsis --- Law - Non-U.S. --- Medicine --- Health & Biological Sciences --- Law, Politics & Government --- Infectious Diseases --- Law - Africa, Asia, Pacific & Antarctica --- Blood-borne diseases --- Blood-borne infections --- Bloodborne diseases --- Bloodborne infection --- Blood poisoning --- Poisoning, Blood --- Septicaemia --- Health promotion. --- Infectious diseases. --- Respiratory organs --- Diseases. --- Respiratory diseases --- Health promotion programs --- Health promotion services --- Promotion of health --- Wellness programs --- Preventive health services --- Health education --- Skin --- Anatomy, Human --- Anatomy --- Human biology --- Medical sciences --- Human body --- Clinical sciences --- Medical profession --- Life sciences --- Pathology --- Physicians --- Communicable diseases --- Blood --- Transmission --- Emerging infections --- New infectious diseases --- Re-emerging infectious diseases --- Reemerging infectious diseases --- Health Workforce --- Respiratory organs—Diseases.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Now extensively revised and significantly expanded, this second edition of the highly praised Drug Interactions in Infectious Diseases includes all the major recent advances in the understanding of drug interactions, with particular emphasis on the many new drugs approved since the first edition. The treatment of drug interaction mechanisms has increased to fill two chapters, allowing a more detailed description of absorption, metabolism, and excretion, as well as describing the growing knowledge of transport proteins. Recent reports of drug interactions, new case studies, and a new chapter outlining the regulatory perspective on interaction studies during drug development have been added. The chapter on study design and data analysis remains one of the best of its kind. The information contained in the book ranges from detailed tables of specific drug-drug interactions to in-depth discussions of interaction mechanisms and research issues. Comprehensive and up-to-date, Drug Interactions in Infectious Diseases, Second Edition concisely and authoritatively summarizes-for rapid access by all health care practitioners-the important drug interactions that occur during the treatment of infectious diseases, the mechanisms of their action, and the best strategies for their management in patient care.

Anti-Infective Agents. --- Drug Interactions. --- Anti-infective agents --- Drug interactions. --- Médicaments --- Side effects. --- Interaction --- Anti-Infective Agents --- Drug Interactions --- Infection --- Drug interactions --- drug therapy --- Side effects --- Anti-infective agents -- Side effects. --- Anti-infective agents. --- Pharmacological Processes --- Therapeutic Uses --- Bacterial Infections and Mycoses --- Pharmacologic Actions --- Diseases --- Physiological Processes --- Pharmacological Phenomena --- Physiological Phenomena --- Chemical Actions and Uses --- Phenomena and Processes --- Chemicals and Drugs --- Health & Biological Sciences --- Medicine --- Pharmacy, Therapeutics, & Pharmacology --- Infectious Diseases --- Interactions, Drug --- Medicine. --- Pharmaceutical technology. --- Infectious diseases. --- Medicine & Public Health. --- Infectious Diseases. --- Pharmaceutical Sciences/Technology. --- Drugs --- Emerging infectious diseases. --- Pharmaceutical laboratory techniques --- Pharmaceutical laboratory technology --- Technology, Pharmaceutical --- Technology --- Emerging infections --- New infectious diseases --- Re-emerging infectious diseases --- Reemerging infectious diseases --- Communicable diseases --- Infection - drug therapy --- Anti-infective agents - Side effects

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. Frailty models provide a powerful tool to analyse clustered survival data. In contrast to the large number of research publications on frailty models, relatively few statistical software packages contain frailty models. It is demanding for statistical practitioners and graduate students to grasp a good knowledge on frailty models from the existing literature. This book provides an in-depth discussion and explanation of the basics of frailty model methodology for such readers. The discussion includes parametric and semiparametric frailty models and accelerated failure time models. Common techniques to fit frailty models include the EM-algorithm, penalised likelihood techniques, Laplacian integration and Bayesian techniques. More advanced frailty models for hierarchical data are also included. Real-life examples are used to demonstrate how particular frailty models can be fitted and how the results should be interpreted. The programs to fit all the worked-out examples in the book are available from the Springer website with most of the programs developed in the freeware packages R and Winbugs. The book starts with a brief overview of some basic concepts in classical survival analysis, collecting what is needed for the reading on the more complex frailty models. Luc Duchateau is Associate Professor of Statistics at the Faculty of Veterinary Medicine of the Ghent University, Belgium. He is board member of the Quetelet Society (Belgian Region of the International Biometric Society) and of the International Biometric Society Channel Network. He has collaborated extensively with physicians in oncology and allergy, public health workers and veterinarians, and is an author of numerous papers in statistical, medical and veterinarian journals. Paul Janssen is Professor of Statistics at the Centre for Statistics of the Hasselt University, Diepenbeek, Belgium. He is an elected member of the International Statistical Institute. He spent research visits at the Johns Hopkins University (Baltimore, USA) and the University of Washington (Seattle, USA). His research interests include survival analysis, nonparametric estimation, resampling techniques and asymptotic theory.

epidemiologie --- biostatistiek --- Biomathematics. Biometry. Biostatistics --- vormgeving --- besmettelijke ziekten --- Oncology. Neoplasms --- biomathematica --- simulaties --- Artificial intelligence. Robotics. Simulation. Graphics --- oncologie --- Infectious diseases. Communicable diseases --- biometrie --- medische statistiek --- Epidemiology --- Mathematical statistics --- Survival Analysis --- Statistics --- Statistique --- EPUB-LIV-FT LIVSTATI SPRINGER-B --- Statistics. --- 57.087.1 --- 616-036.8 --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- 57.087.1 Biometry. Statistical study and treatment of biological data --- Biometry. Statistical study and treatment of biological data --- 616-036.8 Final stage. Termination. Consequences. Results. Successes. Setbacks. Failures. Efficacy. Inefficacy. Survival. Statistics. Mortality in a specific disease --- Final stage. Termination. Consequences. Results. Successes. Setbacks. Failures. Efficacy. Inefficacy. Survival. Statistics. Mortality in a specific disease --- Distribution (Probability theory. --- Oncology. --- Computer simulation. --- Biometry. --- Emerging infectious diseases. --- Probability Theory and Stochastic Processes. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Cancer Research. --- Simulation and Modeling. --- Biometrics. --- Infectious Diseases. --- Emerging infections --- New infectious diseases --- Re-emerging infectious diseases --- Reemerging infectious diseases --- Communicable diseases --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Tumors --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Probabilities. --- Statistics . --- Cancer research. --- Biometrics (Biology). --- Infectious diseases. --- Cancer research --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Risk