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Editors: Fuster, A., Ghosh, A., Kaden, E., Rathi, Y., Reisert, M. (Eds.)These Proceedings of the 2015 MICCAI Workshop “Computational Diffusion MRI” offer a snapshot of the current state of the art on a broad range of topics within the highly active and growing field of diffusion MRI. The topics vary from fundamental theoretical work on mathematical modeling, to the development and evaluation of robust algorithms, new computational methods applied to diffusion magnetic resonance imaging data, and applications in neuroscientific studies and clinical practice.O
Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research.
Divided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks analysis, and other models for interval-censored data.
Whoever coined the adage “an ounce of prevention is worth a pound of cure” could not have known how important this adage would become. The challenge of altering the health trajectories of poor lifestyle decisions for such behaviors as smoking, drinking and using illicit drugs, violence, dropping out of school, engagement in risky sexual behaviors and crime through prevention research has led to a new discipline, prevention science.
Defining Prevention Science covers this emerging field of science: its goals, its conceptual and theoretical foundations, its methods and especially its utility.
Written for those who are familiar with the basic strategies of analytic epidemiology, Epidemiology: Beyond the Basics takes readers through a more rigorous discussion of key epidemiologic concepts and methods such as study design, measures of association, research assessment, and more. With real-life examples throughout, the book avoids complex statistical formulations and is an invaluable resource for intermediate students and practicing epidemiologists who wish to expand their knowledge of epidemiology and its role in the medical and public health sciences.
Biostatistical Methods focuses on the assessment of risks and relative risks on the basis of clinical investigations. It develops basic concepts and derives biostatistical methods through both the application of classical mathematical statistical tools and more modern likelihood–based theories.
This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time.With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field.
Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields.The text mainly addresses special concerns of the survival model. After covering the fundamentals, it discusses interval censoring, nonparametric and semiparametric hazard regression, multivariate survival data analysis, the sub-distribution method for competing risks data, the cure rate model, and Bayesian inference methods.
The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. It describes all approaches that have been developed so far, provides a brief history of synthetic datasets, and gives useful hints on how to deal with real data problems like nonresponse, skip patterns, or logical constraints. Each chapter is dedicated to one approach, first describing the general concept followed by a detailed application to a real dataset providing useful guidelines on how to implement the theory in practice.
This Companion Textbook supplements the ActivEpi CD-ROM, sold separately. The ActivEpi CD-ROM provides a multimedia presentation of concepts, commonly taught in an introductory epidemiology course. ActivEpi mixes a full array of media to motivate, explain, visualize and apply epidemiological concepts. Virtually all of the material on the ActivEpi CD-ROM is included in the Companion Textbook. Because individuals differ in their learning skills, the ActivEpi CD-ROM and the ActivEpi Companion Textbook offer readers different but related options on how to learn epidemiology.
At the heart of this book by Nobel Prize–winning immunologist and professor Peter Doherty is this striking observation: Birds detect danger to our health and the environment before we do. Following a diverse cast of bird species around the world―from tufted puffins in Puget Sound to griffon vultures in India, pigeons in East Asia, and wedge-tailed shearwaters off the islands of Australia’s Great Barrier Reef―Doherty illuminates birds’ role as an early warning system for threats to the health of our planet and our own well-being.T
In this revised and expanded second edition, seasoned experts describe in step-by-step detail their best state-of-the-art techniques for studying neuronal cell death. These readily reproducible methods solve a wide variety of research problems, including the detection of the key proteins involved in neuronal apoptosis (Bax protein, cytochrome c, and caspases), the direct assessment of the role of pro-apoptotic proteins in neurons by viral infections and microinjections, and the detection of pro-apoptotic proteins in situ.
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