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Disease Mapping with WinBUGS and MLwiN

programs. Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers;

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Bayesian Disease Mapping

Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling;

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Disease Mapping

knowledge of disease mapping. Includes practical sessions at the end of each chapter with WinBUGs/INLA and real world datasets;

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Disease Mapping

as important with lots of practical examples offered. Features: Discusses the very latest developments on multivariate and;

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Statistical Methods in Spatial Epidemiology

Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with;

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Bayesian Modeling Using WinBUGS

implementation of key principles. The book begins with a basic introduction to Bayesian inference and the WinBUGS software and goes on to cover key;

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An Introductory Guide To Disease Mapping

. This book supplies the reader with an array of tools and skills so that maps may be produced and correctly interpreted, and also describes the;

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Bayesian Population Analysis using WinBUGS

WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average;

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Disease Mapping And Risk Assessment For Public Health

evaluation of disease mapping and risk assessment. It includes a broad variety of statistical techniques and where appropriate, examples are included;

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Bayesian Disease Mapping

predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping;

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Bayesian Disease Mapping

predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping;

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Mapping Disease Transmission Risk - Enriching Models Using Biogeography and Ecology

infectious disease mapping methods. His work - the culmination of twelve years of refinement - breaks new ground by integrating biogeographic and;

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T1-Mapping in Myocardial Disease

allowed an unprecedented opportunity to elucidate the pathology, diagnosis and prognosis of cardiovascular disease. T1-Mapping;

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Genetic Mapping of Disease Genes

leading experts. The book gives a broad overview of the genetic mapping involved in inherited diseases and discusses the shortcomings;

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Cartographies of Disease

Cartographies of Disease: Maps, Mapping, and Medicine is a comprehensive survey of the technology of mapping and its relationship to the;

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Spatial Epidemiological Approaches in Disease Mapping and Analysis

Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips;

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Spatial Epidemiological Approaches in Disease Mapping and Analysis

Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips;

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Advances in Cardiac Mapping and Catheter Ablation: Part II, An Issue of Cardiac Electrophysiology Clinics

; Mapping and Ablation of Neuraxial in Patients with Ventricular Arrhythmias; How to Map and Ablate Rotors in Atrial Fibrillation; Post-ablation;

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Bayesian Analysis of Infectious Diseases

Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary;

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Introduction to WinBUGS for Ecologists

understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. The book begins by presenting the;

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Ventricular Tachycardia in Structural Heart Disease, An Issue of Cardiac Electrophysiology Clinics

mapping; Ablation of VT in ARVD; Epicardial VT ablation; and VT clinical trials, among others.;

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Functional Connectivity, An Issue of Neuroimaging Clinics of North America

This issue of Neuroimaging Clinics of North America focuses on Functional Connectivity, and is edited by Dr. Jay Pillai. Articles will;

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Bayesian Methods in Epidemiology

do not exhibit any symptoms of the disease. With many examples and end-of-chapter exercises, this book is the first to introduce;

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Bayesian Methods in Epidemiology

individuals that do not exhibit any symptoms of the disease. With many examples and end-of-chapter exercises, this book is the first to;

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Brain Mapping

brain regions and subcortical white matter, brain mapping is the only method for obtaining real-time information with high sensitivity and;

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Engineering Biostatistics

with a box highlighting what is covered in that chapter and ends with exercises, a list of software scripts, datasets, and references;

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Mapping the Victorian Social Body

, and the use of maps to pinpoint the source of the disease initiated an explosion of medical and social mapping not only in London but;

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