The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software, and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methodology and software for the analys…
Discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data, from medical research and molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into st…
The Oxford handbook of applied Bayesian analysis
by O'Hagan, Anthony, West, Mike
fromOxford Handbooks
The Oxford handbook of applied Bayesian analysis
by O'Hagan, Anthony, West, Mike
fromOxford Handbooks
"Exploring contemporary Bayesian analysis across a variety of application areas, chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally imp…
"Exploring contemporary Bayesian analysis across a variety of application areas, chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally imp…
"The approach taken in this book is, to studies monitored over time, what the Central Limit Theorem is to studies with only one analysis. Just as the Central Limit Theorem shows that test statistics involving very different types of clinical trial outcomes are asymptotically nor…
Presents a comprehensive review of the factors that determine when a clinical trial should be stopped.
"The approach taken in this book is, to studies monitored over time, what the Central Limit Theorem is to studies with only one analysis. Just as the Central Limit Theorem shows that test statistics involving very different types of clinical trial outcomes are asymptotically nor…
"The approach taken in this book is, to studies monitored over time, what the Central Limit Theorem is to studies with only one analysis. Just as the Central Limit Theorem shows that test statistics involving very different types of clinical trial outcomes are asymptotically nor…
"Bayesian Modeling in Bioinformatics" discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer.…
