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Bayesian Methods in Health Economics

of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it;

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Bayesian Methods in Health Economics

of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it;

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Bayesian Theory and Methods with Applications

Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering;

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Bayesian Methods in Pharmaceutical Research

Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at;

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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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Bayesian Analysis For Social Sciences

Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the;

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Bayesian Statistical Modelling

programs.Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social;

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Bayesian Analysis of Time Series

In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use;

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Bayesian Analysis of Time Series

In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use;

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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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Bayesian Biostatistics

methods for analyzing real-world problems in the health sciences. The work considers the individual components of Bayesian analysis.;College or;

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Bayesian Biostatistics

methods for analyzing real-world problems in the health sciences. The work considers the individual components of Bayesian analysis.;College or;

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Flexible Bayesian Regression Modelling

Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced;

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Bayesian Econometric Methods

Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoretical and applied questions and;

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Bayesian Econometric Methods

Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoretical and applied questions and;

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Bayesian Approaches To Clinical Trials And Health-Care Evalu

biostatistical applications in any detail. Bayesian Approaches to Clinical Trials and Health--Care Evaluation provides a valuable overview of this;

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Bayesian Models for Categorical Data

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology;

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Current Trends in Bayesian Methodology with Applications

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the;

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Current Trends in Bayesian Methodology with Applications

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the;

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Bayesian Cost-Effectiveness Analysis of Medical Treatments

of Quantitative Methods at the ULPGC. His main research topics are Bayesian methods applied to Health Economics, economic evaluation and cost;

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Bayesian Cost-Effectiveness Analysis of Medical Treatments

Negrin is Senior Lecturer in the Department of Quantitative Methods at the ULPGC. His main research topics are Bayesian methods applied to Health;

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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested;

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Modeling in Medical Decision Making

. Simulation-based Bayesian methods are especially promising, as they provide a unified framework for data collection, inference, and decision making;

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Bayesian Methods for Nonlinear Classification and Regression

Nonlinear Bayesian modelling is a relatively new field, but one that has seen a recent explosion of interest. Nonlinear models offer more;

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Case Studies in Bayesian Statistical Modelling and Analysis

problem may be analysed using Bayesian methods. * Features approaches that can be used in a wide area of application, such as, health, the;

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Bayesian Methods in Finance

Bayesian Methods in Finance provides a detailed overview of the theory of Bayesian methods and explains their real-world applications to;

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