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Bayesian Methods in Epidemiology

Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical;

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Bayesian Methods in Epidemiology

Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical;

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Handbook of Epidemiology

in Epidemiology, Bayesian Methods in Epidemiology, Generalized Estimating Equations, Directed Acyclic Graphs, Life Course Epidemiology, Physical Activity;

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Measurement Error and Misclassification in Statistics and Epidemiology

both continuous and categorical variables, Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian;

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Modern Epidemiology

New chapters cover causal modeling: Bayesian analysis, probabilistic bias analysis, social epidemiology, and use of secondary data Includes;

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Bayesian Disease Mapping

in Spatial Epidemiology provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis;

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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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Bayesian Disease Mapping

: Hierarchical Modeling in Spatial Epidemiology, Third Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping;

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Bayesian Disease Mapping

: Hierarchical Modeling in Spatial Epidemiology, Third Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping;

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Bayesian Methods For Data Analysis

Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the;

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Modern Epidemiology

Selected as a Doody's Core Title for 2022! Now in a fully revised 4th Edition, Modern Epidemiology remains the gold standard text;

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Likelihood & Bayesian Inference

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it;

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Likelihood and Bayesian Inference

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it;

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Bayesian Biostatistics

methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian;

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Handbook of Spatial Epidemiology

. The second part presents basic statistical methods used in spatial epidemiology, including fundamental likelihood principles, Bayesian methods;

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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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Bayesian inference with INLA

The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time;

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Bayesian inference with INLA

The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time;

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Bayesian Inverse Problems

. Understand Bayesian methods including filtering techniques, Bayesian networks, etc., and their use in engineering systems analysis. Learn to;

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Applied Bayesian Modelling

The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling;

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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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An Introduction to Bayesian Biostatistics

Praise for Bayesian Thinking in Biostatistics: This thoroughly modern Bayesian book ...is a 'must have' as a textbook or a reference volume;

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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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Spatial & Spatio Temporal Bayesian

Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the;

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Computational Bayesian Statistics

Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that;

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Computational Bayesian Statistics

Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that;

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Handbook of Bayesian Variable Selection

The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects;

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