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Institution

University of Wisconsin-Madison

EducationMadison, Wisconsin, United States
About: University of Wisconsin-Madison is a education organization based out in Madison, Wisconsin, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 108707 authors who have published 237594 publications receiving 11883575 citations.
Topics: Population, Poison control, Gene, Health care, Galaxy


Papers
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Book ChapterDOI
TL;DR: The authors discusses the psychology of risk: what risk is (if it is anything at all), how people think about it, what they feel about it and what they do about it.
Abstract: Publisher Summary This chapter discusses the psychology of risk: what risk is (if it is anything at all), how people think about it, what they feel about it, and what they do about it. The chapter describes the way psychologists think about risk: how they study it, what tasks they use, what factors they vary, and what models they build (or borrow) to describe risk-taking behavior. Technically, the word risk refers to situations in which a decision is made whose consequences depend on the outcomes of future events having known probabilities. Psychological studies of risky choice (it is the term used conventionally to refer to all but the most extreme instances of ignorance or ambiguity) fall into two groups. At one extreme are the studies run by mathematically inclined experimental psychologists in which subjects make decisions about gambles described in terms of amounts and probabilities. At the other extreme are studies run by personality psychologists, who are mostly interested in individual differences in risk taking. A theory of risky choice is presented in the chapter that attempts to meld the strengths of both approaches. Empirically and methodologically it is tied to the experimental approach to risky choice. But theoretically it is more strongly tied to motivational approaches.

1,122 citations

Journal ArticleDOI
TL;DR: In this article, a general study of primordial scalar non-Gaussianity in single field inflationary models is performed, where the inflaton Lagrangian is an arbitrary function of the scalar field and its first derivative.
Abstract: We perform a general study of primordial scalar non-Gaussianities in single field inflationary models. We consider models where the inflaton Lagrangian is an arbitrary function of the scalar field and its first derivative, and the sound speed is arbitrary. We find that under reasonable assumptions, the non-Gaussianity is completely determined by 5 parameters. In special limits of the parameter space, one finds distinctive ''shapes'' of the non-Gaussianity. In models with a small sound speed, several of these shapes would become potentially observable in the near future. Different limits of our formulae recover various previously known results.

1,122 citations

Journal ArticleDOI
TL;DR: This work considers the problem of mining association rules on a shared nothing multiprocessor and presents three algorithms that explore a spectrum of trade-offs between computation, communication, memory usage, synchronization, and the use of problem specific information.
Abstract: We consider the problem of mining association rules on a shared nothing multiprocessor. We present three algorithms that explore a spectrum of trade-offs between computation, communication, memory usage, synchronization, and the use of problem specific information. The best algorithm exhibits near perfect scaleup behavior, yet requires only minimal overhead compared to the current best serial algorithm.

1,121 citations

Journal ArticleDOI
TL;DR: For example, the authors show that wide spreads are accompanied by low depths, and that spreads widen and depths fall in response to higher volume on the New York Stock Exchange (NSE).
Abstract: For a sample of NYSE firms, we show that wide spreads are accompanied by low depths, and that spreads widen and depths fall in response to higher volume. Spreads widen and depths fall in anticipation of earnings announcements; these effects are more pronounced for announcements with larger subsequent price changes. Spreads are also wider following earnings announcements, but this effect dissipates quickly after controlling for volume. Collectively, our results suggest liquidity providers are sensitive to changes in information asymmetry risk and use both spreads and depths to actively manage this risk.

1,121 citations

Journal ArticleDOI
TL;DR: In postmenopausal women, treatment with tamoxifen is associated with preservation of the bone mineral density of the lumbar spine, and whether this favorable effect on bone mineraldensity is accompanied by a decrease in the risk of fractures remains to be determined.
Abstract: Background and Methods. Tamoxifen, a synthetic antiestrogen, increases disease-free and overall survival when used as adjuvant therapy for primary breast cancer. Because it is given for long periods, it is important to know whether tamoxifen affects the skeleton, particularly since it is used extensively in postmenopausal women who are at risk for osteoporosis. Using photon absorptiometry, we studied the effects of tamoxifen on the bone mineral density of the lumbar spine and radius and on biochemical measures of bone metabolism in 140 postmenopausal women with axillary-node—negative breast cancer, in a two-year randomized, double-blind, placebo-controlled trial. Results. In the women given tamoxifen, the mean bone mineral density of the lumbar spine increased by 0.61 percent per year, whereas in those given placebo it decreased by 1.00 percent per year (P<0.001). Radial bone mineral density decreased to the same extent in both groups. In a subgroup randomly selected from each group, serum osteoc...

1,120 citations


Authors

Showing all 109671 results

NameH-indexPapersCitations
Eric S. Lander301826525976
Ronald C. Kessler2741332328983
Gordon H. Guyatt2311620228631
Yi Chen2174342293080
David Miller2032573204840
Robert M. Califf1961561167961
Ronald Klein1941305149140
Joan Massagué189408149951
Jens K. Nørskov184706146151
Terrie E. Moffitt182594150609
H. S. Chen1792401178529
Ramachandran S. Vasan1721100138108
Masayuki Yamamoto1711576123028
Avshalom Caspi170524113583
Jiawei Han1681233143427
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023333
20221,390
202110,148
20209,483
20199,278
20188,546