The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Rental copy of this book is not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.
Bayesian methods play an increasingly important role in the analysis of infectious disease data, driven by recent increases in computing power. However, few books focus on Bayesian methods for such analyses. Emphasizing the practical value of methods and how they can be used to address scientific questions of interest, Bayesian Inference for Infectious Disease Data features a wide variety of real examples to illustrate the methods described. The book uses Monte Carlo Markov chain (MCMC) methods for simulating the analyses. Assuming limited mathematical knowledge, it provides an accessible introduction to Bayesian methods that is suitable for graduate students as well as researchers in the field.