Institution
Case Western Reserve University
Education•Cleveland, Ohio, United States•
About: Case Western Reserve University is a education organization based out in Cleveland, Ohio, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 54617 authors who have published 106568 publications receiving 5071613 citations. The organization is also known as: Case & Case Western.
Topics: Population, Cancer, Health care, Medicine, Transplantation
Papers published on a yearly basis
Papers
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Memorial Sloan Kettering Cancer Center1, Broad Institute2, Heidelberg University3, University of São Paulo4, University of California, Santa Cruz5, Harvard University6, Institute for Systems Biology7, University of Texas MD Anderson Cancer Center8, Case Western Reserve University9, Henry Ford Health System10, Duke University11, Emory University12, University of California, San Francisco13, Cedars-Sinai Medical Center14, St. Joseph's Hospital and Medical Center15, University of Florida16, Thomas Jefferson University17, University of Toronto18, Christiana Care Health System19, Mayo Clinic20, Penrose Hospital21, University of Southern California22, University of North Carolina at Chapel Hill23, Baylor College of Medicine24, University of British Columbia25, Oregon Health & Science University26, Washington University in St. Louis27
TL;DR: Correlative analyses confirm that the survival advantage of the proneural subtype is conferred by the G-CIMP phenotype, and MGMT DNA methylation may be a predictive biomarker for treatment response only in classical subtype GBM.
3,593 citations
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08 Sep 2011TL;DR: A two-dimensional classificatory scheme highlighting ten different approaches to the measurement of business performance in strategy research is developed in this article, where the first dimension concerns the use of financial versus broader operational criteria, while the second dimension focuses on two alternate data sources (primary versus secondary).
Abstract: A two-dimensional classificatory scheme highlighting ten different approaches to the measurement of business performance in strategy research is developed. The first dimension concerns the use of financial versus broader operational criteria, while the second focuses on two alternate data sources (primary versus secondary). The scheme permits the classification of an exhaustive coverage of measurement approaches and is useful for discussing their relative merits and demerits. Implications for operationalizing business performance in future strategy research are discussed.
3,475 citations
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TL;DR: It is suggested that reporting discrimination and calibration will always be important for a prediction model and decision-analytic measures should be reported if the predictive model is to be used for clinical decisions.
Abstract: The performance of prediction models can be assessed using a variety of methods and metrics. Traditional measures for binary and survival outcomes include the Brier score to indicate overall model performance, the concordance (or c) statistic for discriminative ability (or area under the receiver operating characteristic [ROC] curve), and goodness-of-fit statistics for calibration.Several new measures have recently been proposed that can be seen as refinements of discrimination measures, including variants of the c statistic for survival, reclassification tables, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Moreover, decision-analytic measures have been proposed, including decision curves to plot the net benefit achieved by making decisions based on model predictions.We aimed to define the role of these relatively novel approaches in the evaluation of the performance of prediction models. For illustration, we present a case study of predicting the presence of residual tumor versus benign tissue in patients with testicular cancer (n = 544 for model development, n = 273 for external validation).We suggest that reporting discrimination and calibration will always be important for a prediction model. Decision-analytic measures should be reported if the predictive model is to be used for clinical decisions. Other measures of performance may be warranted in specific applications, such as reclassification metrics to gain insight into the value of adding a novel predictor to an established model.
3,473 citations
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TL;DR: This work model NCSs with packet dropout and multiple-packet transmission as asynchronous dynamical systems and analyze their stability using stability regions and a hybrid systems technique, and discusses methods to compensate network-induced delay.
Abstract: First, we review some previous work on networked control systems (NCSs) and offer some improvements. Then, we summarize the fundamental issues in NCSs and examine them with different underlying network-scheduling protocols. We present NCS models with network-induced delay and analyze their stability using stability regions and a hybrid systems technique. Following that, we discuss methods to compensate network-induced delay and present experimental results over a physical network. Then, we model NCSs with packet dropout and multiple-packet transmission as asynchronous dynamical systems and analyze their stability. Finally, we present our conclusions.
3,467 citations
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TL;DR: It is demonstrated that optical pumping with circularly polarized light can achieve complete dynamic valley polarization in monolayer MoS(2) (refs 11, 12), a two-dimensional non-centrosymmetric crystal with direct energy gaps at two valleys.
Abstract: Circularly polarized light has been used to confine charge carriers in single-layer molybdenum disulphide entirely to a single energy-band valley, representing full valley polarization.
3,425 citations
Authors
Showing all 54953 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert Langer | 281 | 2324 | 326306 |
Bert Vogelstein | 247 | 757 | 332094 |
Zhong Lin Wang | 245 | 2529 | 259003 |
John Q. Trojanowski | 226 | 1467 | 213948 |
Kenneth W. Kinzler | 215 | 640 | 243944 |
Peter Libby | 211 | 932 | 182724 |
David Baltimore | 203 | 876 | 162955 |
Carlo M. Croce | 198 | 1135 | 189007 |
Ronald Klein | 194 | 1305 | 149140 |
Eric J. Topol | 193 | 1373 | 151025 |
Paul M. Thompson | 183 | 2271 | 146736 |
Yusuke Nakamura | 179 | 2076 | 160313 |
Dennis J. Selkoe | 177 | 607 | 145825 |
David L. Kaplan | 177 | 1944 | 146082 |
Evan E. Eichler | 170 | 567 | 150409 |