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Institution

Northwestern University

EducationEvanston, Illinois, United States
About: Northwestern University is a education organization based out in Evanston, Illinois, United States. It is known for research contribution in the topics: Population & Medicine. The organization has 75430 authors who have published 188857 publications receiving 9463252 citations. The organization is also known as: Northwestern & NU.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a class of noncooperative games (of interest in certain applications) is described and each game in the class is shown to possess at least one Nash equilibrium in pure strategies.
Abstract: A class of noncooperative games (of interest in certain applications) is described Each game in the class is shown to possess at least one Nash equilibrium in pure strategies

2,161 citations

Journal ArticleDOI
Christopher J L Murray1, Jerry Puthenpurakal Abraham2, Mohammed K. Ali3, Miriam Alvarado1, Charles Atkinson1, Larry M. Baddour4, David Bartels5, Emelia J. Benjamin6, Kavi Bhalla5, Gretchen L. Birbeck7, Ian Bolliger1, Roy Burstein1, Emily Carnahan1, Honglei Chen8, David Chou1, Sumeet S. Chugh9, Aaron Cohen10, K. Ellicott Colson1, Leslie T. Cooper11, William G. Couser12, Michael H. Criqui13, Kaustubh Dabhadkar3, Nabila Dahodwala14, Goodarz Danaei5, Robert P. Dellavalle15, Don C. Des Jarlais16, Daniel Dicker1, Eric L. Ding5, E. Ray Dorsey17, Herbert C. Duber1, Beth E. Ebel12, Rebecca E. Engell1, Majid Ezzati18, David T. Felson6, Mariel M. Finucane5, Seth Flaxman19, Abraham D. Flaxman1, Thomas D. Fleming1, Mohammad H. Forouzanfar1, Greg Freedman1, Michael Freeman1, Sherine E. Gabriel4, Emmanuela Gakidou1, Richard F. Gillum20, Diego Gonzalez-Medina1, Richard A. Gosselin21, Bridget F. Grant8, Hialy R. Gutierrez22, Holly Hagan23, Rasmus Havmoeller9, Rasmus Havmoeller24, Howard J. Hoffman8, Kathryn H. Jacobsen25, Spencer L. James1, Rashmi Jasrasaria1, Sudha Jayaraman5, Nicole E. Johns1, Nicholas J Kassebaum12, Shahab Khatibzadeh5, Lisa M. Knowlton5, Qing Lan, Janet L Leasher26, Stephen S Lim1, John K Lin5, Steven E. Lipshultz27, Stephanie J. London8, Rafael Lozano, Yuan Lu5, Michael F. Macintyre1, Leslie Mallinger1, Mary M. McDermott28, Michele Meltzer29, George A. Mensah8, Catherine Michaud30, Ted R. Miller31, Charles Mock12, Terrie E. Moffitt32, Ali A. Mokdad1, Ali H. Mokdad1, Andrew E. Moran22, Dariush Mozaffarian33, Dariush Mozaffarian5, Tasha B. Murphy1, Mohsen Naghavi1, K.M. Venkat Narayan3, Robert G. Nelson8, Casey Olives12, Saad B. Omer3, Katrina F Ortblad1, Bart Ostro34, Pamela M. Pelizzari35, David Phillips1, C. Arden Pope36, Murugesan Raju37, Dharani Ranganathan1, Homie Razavi, Beate Ritz38, Frederick P. Rivara12, Thomas Roberts1, Ralph L. Sacco27, Joshua A. Salomon5, Uchechukwu K.A. Sampson39, Ella Sanman1, Amir Sapkota40, David C. Schwebel41, Saeid Shahraz42, Kenji Shibuya43, Rupak Shivakoti17, Donald H. Silberberg14, Gitanjali M Singh5, David Singh44, Jasvinder A. Singh41, David A. Sleet, Kyle Steenland3, Mohammad Tavakkoli5, Jennifer A. Taylor45, George D. Thurston23, Jeffrey A. Towbin46, Monica S. Vavilala12, Theo Vos1, Gregory R. Wagner47, Martin A. Weinstock48, Marc G. Weisskopf5, James D. Wilkinson27, Sarah Wulf1, Azadeh Zabetian3, Alan D. Lopez49 
14 Aug 2013-JAMA
TL;DR: To measure the burden of diseases, injuries, and leading risk factors in the United States from 1990 to 2010 and to compare these measurements with those of the 34 countries in the Organisation for Economic Co-operation and Development (OECD), systematic analysis of descriptive epidemiology was used.
Abstract: Importance Understanding the major health problems in the United States and how they are changing over time is critical for informing national health policy. Objectives To measure the burden of diseases, injuries, and leading risk factors in the United States from 1990 to 2010 and to compare these measurements with those of the 34 countries in the Organisation for Economic Co-operation and Development (OECD) countries. Design We used the systematic analysis of descriptive epidemiology of 291 diseases and injuries, 1160 sequelae of these diseases and injuries, and 67 risk factors or clusters of risk factors from 1990 to 2010 for 187 countries developed for the Global Burden of Disease 2010 Study to describe the health status of the United States and to compare US health outcomes with those of 34 OECD countries. Years of life lost due to premature mortality (YLLs) were computed by multiplying the number of deaths at each age by a reference life expectancy at that age. Years lived with disability (YLDs) were calculated by multiplying prevalence (based on systematic reviews) by the disability weight (based on population-based surveys) for each sequela; disability in this study refers to any short- or long-term loss of health. Disability-adjusted life-years (DALYs) were estimated as the sum of YLDs and YLLs. Deaths and DALYs related to risk factors were based on systematic reviews and meta-analyses of exposure data and relative risks for risk-outcome pairs. Healthy life expectancy (HALE) was used to summarize overall population health, accounting for both length of life and levels of ill health experienced at different ages. Results US life expectancy for both sexes combined increased from 75.2 years in 1990 to 78.2 years in 2010; during the same period, HALE increased from 65.8 years to 68.1 years. The diseases and injuries with the largest number of YLLs in 2010 were ischemic heart disease, lung cancer, stroke, chronic obstructive pulmonary disease, and road injury. Age-standardized YLL rates increased for Alzheimer disease, drug use disorders, chronic kidney disease, kidney cancer, and falls. The diseases with the largest number of YLDs in 2010 were low back pain, major depressive disorder, other musculoskeletal disorders, neck pain, and anxiety disorders. As the US population has aged, YLDs have comprised a larger share of DALYs than have YLLs. The leading risk factors related to DALYs were dietary risks, tobacco smoking, high body mass index, high blood pressure, high fasting plasma glucose, physical inactivity, and alcohol use. Among 34 OECD countries between 1990 and 2010, the US rank for the age-standardized death rate changed from 18th to 27th, for the age-standardized YLL rate from 23rd to 28th, for the age-standardized YLD rate from 5th to 6th, for life expectancy at birth from 20th to 27th, and for HALE from 14th to 26th. Conclusions and Relevance From 1990 to 2010, the United States made substantial progress in improving health. Life expectancy at birth and HALE increased, all-cause death rates at all ages decreased, and age-specific rates of years lived with disability remained stable. However, morbidity and chronic disability now account for nearly half of the US health burden, and improvements in population health in the United States have not kept pace with advances in population health in other wealthy nations.

2,159 citations

Journal ArticleDOI
15 Feb 2008-Science
TL;DR: The proteostasis network is described, a set of interacting activities that maintain the health of proteome and the organism that has the potential to ameliorate some of the most challenging diseases of this era.
Abstract: The protein components of eukaryotic cells face acute and chronic challenges to their integrity. Eukaryotic protein homeostasis, or proteostasis, enables healthy cell and organismal development and aging and protects against disease. Here, we describe the proteostasis network, a set of interacting activities that maintain the health of proteome and the organism. Deficiencies in proteostasis lead to many metabolic, oncological, neurodegenerative, and cardiovascular disorders. Small-molecule or biological proteostasis regulators that manipulate the concentration, conformation, quaternary structure, and/or the location of protein(s) have the potential to ameliorate some of the most challenging diseases of our era.

2,140 citations

Journal ArticleDOI
Seth Carbon1, Eric Douglass1, Nathan Dunn1, Benjamin M. Good1  +189 moreInstitutions (19)
TL;DR: GO-CAM, a new framework for representing gene function that is more expressive than standard GO annotations, has been released, and users can now explore the growing repository of these models.
Abstract: The Gene Ontology resource (GO; http://geneontology.org) provides structured, computable knowledge regarding the functions of genes and gene products. Founded in 1998, GO has become widely adopted in the life sciences, and its contents are under continual improvement, both in quantity and in quality. Here, we report the major developments of the GO resource during the past two years. Each monthly release of the GO resource is now packaged and given a unique identifier (DOI), enabling GO-based analyses on a specific release to be reproduced in the future. The molecular function ontology has been refactored to better represent the overall activities of gene products, with a focus on transcription regulator activities. Quality assurance efforts have been ramped up to address potentially out-of-date or inaccurate annotations. New evidence codes for high-throughput experiments now enable users to filter out annotations obtained from these sources. GO-CAM, a new framework for representing gene function that is more expressive than standard GO annotations, has been released, and users can now explore the growing repository of these models. We also provide the ‘GO ribbon’ widget for visualizing GO annotations to a gene; the widget can be easily embedded in any web page.

2,138 citations

Journal ArticleDOI
TL;DR: In this article, the authors found that accrual-based earnings management increased steadily from 1987 until the passage of the Sarbanes Oxley Act (SOX) in 2002, followed by a significant decline after the passing of SOX.
Abstract: We document that accrual-based earnings management increased steadily from 1987 until the passage of the Sarbanes Oxley Act (SOX) in 2002, followed by a significant decline after the passage of SOX. Conversely, the level of real earnings management activities declined prior to SOX and increased significantly after the passage of SOX, suggesting that firms switched from accrual-based to real earnings management methods after the passage of SOX. We also find evidence that the accrual-based earnings management activities were particularly high in the period immediately preceding SOX. Consistent with these results, we find that firms that just achieved important earnings benchmarks used less accruals and more real earnings management after SOX when compared to similar firms before SOX. Finally, our analysis provides evidence that the increases in accrual-based earnings management in the period preceding SOX were concurrent with increases in the fraction of equity based compensation.

2,124 citations


Authors

Showing all 76189 results

NameH-indexPapersCitations
George M. Whitesides2401739269833
Ralph B. D'Agostino2261287229636
Daniel Levy212933194778
David Miller2032573204840
Ronald M. Evans199708166722
Michael Marmot1931147170338
Robert C. Nichol187851162994
Scott M. Grundy187841231821
Stuart H. Orkin186715112182
Michael A. Strauss1851688208506
Ralph Weissleder1841160142508
Patrick O. Brown183755200985
Aaron R. Folsom1811118134044
Valentin Fuster1791462185164
Ronald C. Petersen1781091153067
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023275
20221,183
202110,513
202010,260
20199,331
20188,301