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Statistical Modelling of Intensive Care Data
Presents both basic and advanced methods for statistical modeling of ICU data The intensive care unit (ICU) is one of the major components of the current health care system. The complex tasks of collecting and analyzing data on performance measures are made easier when clinical information systems are available, but few clinical information systems have attempted to gather clinical information generating full reports that provide a panorama of the ICU performance and detailed data on several domains. This book presents statistical methods - with special focus on including innovative approaches - that allow handling the specificities of ICU data, enabling practitioners to conduct appropriate analyses of their own data. Organized in distinct sections which will provide both introduction and advanced understanding according to the level of the reader, this book will prove a valuable resource to either statisticians involved in ICU studies, or ICU physicians who need to model statistical data.
Statistical Methods for Dose-Finding Experiments
Dose-finding experiments define the safe dosage of a drug in development, in terms of the quantity given to a patient. Statistical methods play a crucial role in identifying optimal dosage. Used appropriately, these methods provide reliable results and reduce trial duration and costs. In practice, however, dose-finding is often done poorly, with widely used conventional methods frequently being unreliable, leading to inaccurate results. However, there have been many advances in recent years, with new statistical techniques being developed and it is important that these new techniques are utilized correctly. Statistical Methods for Dose-Finding Experiments reviews the main statistical approac...
Computational Linguistics and Intelligent Text Processing
The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff’s Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications.
The ICU Guide for Families
ICU events are not uncommon but knowing what to do when a loved one is placed there is. This work explores the ICU with an eye toward guiding families to getting the best care for their beloved patient Intensive care will touch almost all of us at some point – whether directly, or through our families and or friends. This book is for every family of patients in the ICU, who have suddenly entered an intimidating and alien world, in which they feel powerless and out of control. In simple, direct language, Lara Goitein, MD, gives clear explanations of all aspects of intensive care – what all those lines and tubes are; common conditions such as sepsis and acute respiratory distress syndrome ...
Clinical Trials Handbook
Best practices for conducting effective and safe clinical trials Clinical trials are arguably the most important steps in proving drug effectiveness and safety for public use. They require intensive planning and organization and involve a wide range of disciplines: data management, biostatistics, pharmacology, toxicology, modeling and simulation, regulatory monitoring, ethics, and particular issues for given disease areas. Clinical Trials Handbook provides a comprehensive and thorough reference on the basics and practices of clinical trials. With contributions from a range of international authors, the book takes the reader through each trial phase, technique, and issue. Chapters cover every...
Handbook of Communication in Organisations and Professions
This volume presents mayor contributions of Applied Linguistics to the understanding of communications in the professions. The first two parts of this book deal with the theoretical and methodological orientations of professional communication studies, the history and development of professional communication studies, highlighting the discursive turn of Applied Linguistic research that goes far beyond the established paradigm of Language for Specific Purposes. The third part - the core of this book - presents research into professional practices from various domains (e.g. law, healthcare, business and management, organizations), sites of engagement (as e.g. lawyer-client-conference, doctor-patient interaction) and with respect to different themes that are generalizable across domains and sites (as e.g. communicative aspects of action and practice, of assessment and appraisal). In the final part, professionals from various domains evaluate the contribution to their work so far made by Applied Linguistics.
Bayesian Mediation Analysis using R
Delve into the realm of statistical methodology for mediation analysis with a Bayesian perspective in high dimensional data through this comprehensive guide. Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten chapters, this book explores concepts of mediation analysis, survival analysis, accelerated failure time modeling, longitudinal data analysis, and competing risk modeling. Each chapter progressively unravels intricate topics, from the foundations of Bayesian approaches to advanced techniques like variable selection, bivariate survival models, and Dirichlet process priors. With practical examples and step-by-step guidance, this book empowers readers to navigate the intricate landscape of high-dimensional data analysis, fostering a deep understanding of its applications and significance in diverse fields.
