Listing 1 - 7 of 7 |
Sort by
|
Choose an application
Bayesian statistical decision theory. --- Statistique bayésienne --- 519.226 --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Inference and decision theory. Likelihood. Bayesian theory. Fiducial probability --- 519.226 Inference and decision theory. Likelihood. Bayesian theory. Fiducial probability --- Bayesian statistical decision theory --- Statistique bayésienne
Choose an application
Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's classic introduction maintains the clarity of exposition and use of examples for which the text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS, as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modeling and Bernardo's theory of reference points.
Choose an application
519.2 --- 519.23 --- Bayesian statistical decision theory. --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Probability. Mathematical statistics --- Statistical analysis. Inference methods --- 519.2 Probability. Mathematical statistics --- 519.23 Statistical analysis. Inference methods --- Bayesian statistical decision theory
Choose an application
Choose an application
Choose an application
"- Presents extensive examples throughout the book to complement the theory presented.Includes significant new material on recent techniques such as variational methods, importance sampling, approximate computation and reversible jump MCMC"--
Choose an application
Lung cancer is the leading cause of cancer-related death among men and women in the U.S. and worldwide. For many decades, lung cancer was the sole cancer among the deadly four without an evidence-based screening method for decreasing mortality. This changed in November 2011, when findings from the National Lung Cancer Screening Trial showed low-dose lung CT screening was more efficacious in reducing deaths in high-risk individuals than conventional radiography. As such, an ever-increasing number of health organizations now recommend this screening protocol. Lung Cancer Screening by Mark Parker and esteemed VCU Health colleagues, fulfills the dire need for a comprehensive guide explaining the crucial aspects of lung cancer screenings. The first two chapters lay a foundation with discussion of lung cancer epidemiology and risk factors beyond cigarette smoking. Subsequent chapters cover the fundamentals, with clinical pearls on setting up a successful lung cancer screening program, patient eligibility criteria, imaging variances of tumors in the lungs, screening pros and cons, and interpreting/reporting screening results. The evolution and future of lung cancer screenings Detection and management of unexpected incidental pulmonary and non-pulmonary findings Discussion of test cases utilizing the Lung-RADSTM risk-stratifying system for low-dose chest CT screenings Benefits and potential harms associated with mass lung cancer screening programs including false positive, false negative, and over-diagnosis rates This state-of-the-art guide is essential reading for radiologists, oncologists, pulmonologists, and internists. It is a must-have bookshelf reference for hospital radiology and oncology departments, in particular for those setting up new lung cancer screening programs.
Lungs --- Lung --- Cardiopulmonary system --- Chest --- Respiratory organs --- Cancer --- Diagnosis. --- Tomography.
Listing 1 - 7 of 7 |
Sort by
|