Institution
Vanderbilt University
Education•Nashville, Tennessee, United States•
About: Vanderbilt University is a education organization based out in Nashville, Tennessee, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 45066 authors who have published 106528 publications receiving 5435039 citations. The organization is also known as: Vandy.
Topics: Population, Cancer, Poison control, Breast cancer, Receptor
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, the reliability measurement of qualitative data is important to determine the reliability of the qualitative data used in the analysis of marketing and applied marketing research, and it is discussed in detail.
Abstract: Data based on qualitative judgments are prevalent in both academic research in marketing and applied marketing research. Reliability measurement of qualitative data is important to determine the st...
859 citations
••
TL;DR: The guideline includes data on the epidemiology, clinical features, diagnosis, and treatment of many viral, bacterial, fungal, protozoal, and helminthic etiologies of encephalitis and provides information on when specific etiologic agents should be considered in individual patients with encephalopathy.
Abstract: Guidelines for the diagnosis and treatment of patients with encephalitis were prepared by an Expert Panel of the Infectious Diseases Society of America. The guidelines are intended for use by health care providers who care for patients with encephalitis. The guideline includes data on the epidemiology, clinical features, diagnosis, and treatment of many viral, bacterial, fungal, protozoal, and helminthic etiologies of encephalitis and provides information on when specific etiologic agents should be considered in individual patients with encephalitis.
858 citations
••
TL;DR: In this article, the authors present a new analysis of data from one of those meta-analyses designed to test a broader range of intervention factors in a manner that allows identification of both the general principles and the distinct intervention types associated with the greatest reductions in recidivism.
Abstract: Previous meta-analyses have identified many effective interventions for reducing the recidivism of juvenile offenders and various program factors that are associated with the best outcomes. Most of that work has been focused on only one intervention area and thus has limited scope. Notable exceptions are two relatively comprehensive meta-analyses that have identified a small number of factors or principles that appear to characterize the most effective programs. This paper presents a new analysis of data from one of those meta-analyses designed to test a broader range of intervention factors in a manner that allows identification of both the general principles and the distinct intervention types associated with the greatest reductions in recidivism. Only three factors emerged as major correlates of program effectiveness: a “therapeutic” intervention philosophy, serving high risk offenders, and quality of implementation. With other variables statistically controlled, relatively few differences wer...
858 citations
••
TL;DR: A subsequent cleavage by γ-secretase that releases the ErbB-4 intracellular domain from the membrane and facilitates its translocation to the nucleus is reported.
Abstract: ErbB-4 is a transmembrane receptor tyrosine kinase that regulates cell proliferation and differentiation. After binding of its ligand heregulin (HRG) or activation of protein kinase C (PKC) by 12-O-tetradecanoylphorbol-13-acetate (TPA), the ErbB-4 ectodomain is cleaved by a metalloprotease. We now report a subsequent cleavage by gamma-secretase that releases the ErbB-4 intracellular domain from the membrane and facilitates its translocation to the nucleus. gamma-Secretase cleavage was prevented by chemical inhibitors or a dominant negative presenilin. Inhibition of gamma-secretase also prevented growth inhibition by HRG. gamma-Secretase cleavage of ErbB-4 may represent another mechanism for receptor tyrosine kinase-mediated signaling.
856 citations
••
TL;DR: This article developed empirical benchmarks of comparison that reflect the nature of the intervention being evaluated, its target population, and the outcome measure or measures being used to assess effect size measures for educational interventions designed to improve student academic achievement.
Abstract: There is no universal guideline or rule of thumb for judging the practical importance or substantive significance of a standardized effect size estimate for an intervention. Instead, one must develop empirical benchmarks of comparison that reflect the nature of the intervention being evaluated, its target population, and the outcome measure or measures being used. This approach is applied to the assessment of effect size measures for educational interventions designed to improve student academic achievement. Three types of empirical benchmarks are illustrated: (a) normative expectations for growth over time in student achievement, (b) policy-relevant gaps in student achievement by demographic group or school performance, and (c) effect size results from past research for similar interventions and target populations. The findings can be used to help assess educational interventions, and the process of doing so can provide guidelines for how to develop and use such benchmarks in other fields.
855 citations
Authors
Showing all 45403 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Meir J. Stampfer | 277 | 1414 | 283776 |
John Q. Trojanowski | 226 | 1467 | 213948 |
Robert M. Califf | 196 | 1561 | 167961 |
Matthew Meyerson | 194 | 553 | 243726 |
Scott M. Grundy | 187 | 841 | 231821 |
Tony Hunter | 175 | 593 | 124726 |
David R. Jacobs | 165 | 1262 | 113892 |
Donald E. Ingber | 164 | 610 | 100682 |
L. Joseph Melton | 161 | 531 | 97861 |
Ralph A. DeFronzo | 160 | 759 | 132993 |
David W. Bates | 159 | 1239 | 116698 |
Charles N. Serhan | 158 | 728 | 84810 |
David Cella | 156 | 1258 | 106402 |
Jay Hauser | 155 | 2145 | 132683 |