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Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;
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Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;
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Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated;
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Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated;
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for estimating the agreement among observers. The book also explains the protocol review process for cancer clinical trials, how tumor;
Vergelijkbare producten zoals Bayesian Biostatistics and Diagnostic Medicine
for estimating the agreement among observers. The book also explains the protocol review process for cancer clinical trials, how tumor;
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Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and;
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Useful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and;
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This work describes several statistical techniques for studying repeated measures data, presenting growth curve methods applicable to;
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goodness-of-fit measures, including sensitivity to priors Frequentist properties of Bayesian methods Case studies;
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Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis;
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Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling;
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include Bayesian Biostatistics and Diagnostic Medicine, and Bayesian Methods for Agreement.;
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previous books for Chapman & Hall/CRC include Bayesian Biostatistics and Diagnostic Medicine, and Bayesian Methods for Agreement.;
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of Bayesian methods for variable selection. It also provides a valuable reference for all interested in applying existing methods and/or pursuing;
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After a review of the usual measures, including specificity, sensitivity, positive predictive value, negative predictive value, and the;
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industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book;
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measures, Alternative longitudinal study designs, Propensity score methods for observational data, Approaches to deal with missing data, Applied;
Vergelijkbare producten zoals Advanced Epidemiologic Methods for the Study of Rheumatic Diseases, An Issue of Rheumatic Disease Clinics of North America
a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion;
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a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion;
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variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level;
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exclusively to Bayesian methods of analysis for applications to high-throughput gene expression data, exploring the relevant methods that are changing;
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Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting;
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Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting;
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Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling;
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In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead;
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In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead;
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