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Looking to learn Bayesian data analysis? This page provides a curated list of PDF resources, guides, and tutorials to help you understand and apply Bayesian methods. Whether you're a beginner or an experienced statistician, you'll find valuable information for mastering Bayesian data analysis and leveraging its power in your research and projects.

Bayesian Item Response Modeling is a sophisticated statistical approach that integrates classical Item Response Theory (IRT) with Bayesian inference. This powerful framework allows for more robust estimation of item parameters and person abilities, especially beneficial in psychometrics and educational measurement where it can incorporate prior knowledge and handle complex data structures more effectively than traditional methods.

Explore Bayesian cost-effectiveness analysis, a powerful statistical method for economic evaluation that rigorously incorporates uncertainty into decision-making. This approach, often implemented using R programming, provides a robust framework for assessing the comparative value of health interventions and optimizing resource allocation based on probabilistic outcomes.

Explore the essential applications of Bayesian methods within health economics. This comprehensive resource, part of the Chapman & Hall/CRC Biostatistics Series, offers deep insights into advanced statistical modeling and economic evaluation techniques crucial for healthcare decision-making.