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Decision Theory
Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the implications for statistical practice. The authors have developed a series of self contained chapters focusing on bridging the gaps between the different fields that have contributed to rational decision making and presenting ideas in a unified framework and notation while respecting and highlighting the ...
Bayesian and Frequentist Regression Methods
Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of Bayesian and frequentist methods that exists in one place. The two philosophical approaches to regression methodology are featured here as complementary techniques, with theory and data analysis providing supplementary components of the discussion. In particular, methods are illustrated using a variety of data sets. The majority of the data sets are drawn from biostatistics but the techniques are generalizable to a wide range of other disciplines.
Statistical Intervals
Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses. Vastly improved computer capabilities over the past 25 years have resulted in an explosion of the ...
Breast Cancer, a Heterogeneous Disease Entity
The volume raises attention to the need of a completely new approach to breast cancer based on the knowledge collected on early breast cancer in the past two decades. The chapters are contributed by experts of all the fields participating in the clinical research and care of breast cancer. The practical importance of such a book is underlined by the increasing number of breast cancer cases, and also the increasing proportion of early stage-cases. The ultimate goal of the book is to point to the heterogeneous nature of the disease which is more striking and has more importance in care at the very early stages than at the more advanced stages. The book recommends the utilization of all the inf...
Journal of the National Cancer Institute
"Summaries of papers" contained in the journal accompany each issue, 19--
AMSTAT News
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Negotiating the Impossible
Using behind-the-scenes stories of fascinating real-life negotiations to illustrate key lessons, this book shows how to defuse even the most potentially explosive situations and to find success when things seem impossible. --
Probability Modeling and Statistical Inference in Cancer Screening
Cancer screening has been carried out for six decades – however, there are many unsolved problems: how to estimate key parameters involved in screenings, such as sensitivity, the time duration in the preclinical state (i.e., sojourn time), and time duration in the disease-free state; how to estimate the distribution of lead time, the diagnosis time advanced by screening; how to evaluate the long-term outcomes of screening, including the probability of overdiagnosis among the screen-detected; when to schedule the first exam based on one’s current age and risk tolerance; and when to schedule the upcoming exam based on one’s screening history, age, and risk tolerance. These problems need ...
AHA Scientific Sessions 2016: Program Information
The American Heart Association’s Scientific Sessions 2016 is bringing big science, big technology, and big networking opportunities to New Orleans, Louisiana this November. This event features five days of the best in science and cardiovascular clinical practice covering all aspects of basic, clinical, population and translational content.
