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The Statistical Evaluation Of Medical Tests For Classification And Prediction

Author: Margaret Sullivan Pepe
Publisher: Oxford University Press on Demand
ISBN: 9780198565826
Size: 20.69 MB
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This book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and new technologies for classification and prediction in medicine.Readership: Researchers and students in biostatistics (medical statistics), statistics, medical science, public health and clinical research.

Automated Image Detection Of Retinal Pathology

Author: Herbert Jelinek
Publisher: CRC Press
ISBN: 1420037005
Size: 72.55 MB
Format: PDF, ePub
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Discusses the Effect of Automated Assessment Programs on Health Care Provision Diabetes is approaching pandemic numbers, and as an associated complication, diabetic retinopathy is also on the rise. Much about the computer-based diagnosis of this intricate illness has been discovered and proven effective in research labs. But, unfortunately, many of these advances have subsequently failed during transition from the lab to the clinic. So what is the best way to diagnose and treat retinopathy? Automated Image Detection of Retinal Pathology discusses the epidemiology of the disease, proper screening protocols, algorithm development, image processing, and feature analysis applied to the retina. Conveys the Need for Widely Implemented Risk-Reduction Programs Offering an array of informative examples, this book analyzes the use of automated computer techniques, such as pattern recognition, in analyzing retinal images and detecting diabetic retinopathy and its progression as well as other retinal-based diseases. It also addresses the benefits and challenges of automated health care in the field of ophthalmology. The book then details the increasing practice of telemedicine screening and other advanced applications including arteriolar-venous ratio, which has been shown to be an early indicator of cardiovascular, diabetes, and cerebrovascular risk. Although tremendous advances have been made in this complex field, there are still many questions that remain unanswered. This book is a valuable resource for researchers looking to take retinal pathology to that next level of discovery as well as for clinicians and primary health care professionals that aim to utilize automated diagnostics as part of their health care program.

Statistical Applications From Clinical Trials And Personalized Medicine To Finance And Business Analytics

Author: Jianchang Lin
Publisher: Springer
ISBN: 3319425684
Size: 34.36 MB
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The papers in this volume represent a broad, applied swath of advanced contributions to the 2015 ICSA/Graybill Applied Statistics Symposium of the International Chinese Statistical Association, held at Colorado State University in Fort Collins. The contributions cover topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. Each papers was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe.

Time Series Analysis By State Space Methods

Author: James Durbin
Publisher: OUP Oxford
ISBN: 0191627194
Size: 68.25 MB
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This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are very flexible and are capable of handling a much wider range of problems than the main analytical system currently in use for time series analysis, the Box-Jenkins ARIMA system. Additions to this second edition include the filtering of nonlinear and non-Gaussian series. Part I of the book obtains the mean and variance of the state, of a variable intended to measure the effect of an interaction and of regression coefficients, in terms of the observations. Part II extends the treatment to nonlinear and non-normal models. For these, analytical solutions are not available so methods are based on simulation.

Numerical Methods For Nonlinear Estimating Equations

Author: Christopher G. Small
Publisher: Oxford University Press on Demand
ISBN: 9780198506881
Size: 61.27 MB
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This text provides a comprehensive study of nonlinear estimating equations and artificial likelihoods for statistical inference. It contains extensive coverage and comparison of hill climbing algorithms, which, when started at points of nonconcavity often have very poor convergence properties.

Optimum Experimental Designs With Sas

Author: Anthony Atkinson
Publisher: OUP Oxford
Size: 57.65 MB
Format: PDF
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This text focuses on optimum experimental design using SAS, a powerful software package that provides a complete set of statistical tools including analysis of variance, regression, categorical data analysis, and multivariate analysis. SAS codes, results, plots, numerous figures and tables are provided, along with a fully supported website.