Institution
University of Calgary
Education•Calgary, Alberta, Canada•
About: University of Calgary is a education organization based out in Calgary, Alberta, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 44284 authors who have published 104970 publications receiving 3669161 citations. The organization is also known as: U of C & UCalgary.
Papers published on a yearly basis
Papers
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Verneri Anttila1, Verneri Anttila2, Brendan Bulik-Sullivan1, Brendan Bulik-Sullivan2 +717 more•Institutions (270)
TL;DR: It is demonstrated that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine, and it is shown that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures.
Abstract: Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.
1,357 citations
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TL;DR: The proportional odds model for ordinal logistic regression provides a useful extension of the binary logistic model to situations where the response variable takes on values in a set of ordered categories.
Abstract: The proportional odds model for ordinal logistic regression provides a useful extension of the binary logistic model to situations where the response variable takes on values in a set of ordered categories. The model may be represented by a series of logistic regressions for dependent binary variables, with common regression parameters reflecting the proportional odds assumption. Key to the valid application of the model is the assessment of the proportionality assumption. An approach is described arising from comparisons of the separate (correlated) fits to the binary logistic models underlying the overall model. Based on asymptotic distributional results, formal goodness-of-fit measures are constructed to supplement informal comparisons of the different fits. A number of proposals, including application of bootstrap simulation, are discussed and illustrated with a data example.
1,355 citations
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TL;DR: The InTBIR Participants and Investigators have provided informed consent for the study to take place in Poland.
Abstract: Additional co-authors: Endre Czeiter, Marek Czosnyka, Ramon Diaz-Arrastia, Jens P Dreier, Ann-Christine Duhaime, Ari Ercole, Thomas A van Essen, Valery L Feigin, Guoyi Gao, Joseph Giacino, Laura E Gonzalez-Lara, Russell L Gruen, Deepak Gupta, Jed A Hartings, Sean Hill, Ji-yao Jiang, Naomi Ketharanathan, Erwin J O Kompanje, Linda Lanyon, Steven Laureys, Fiona Lecky, Harvey Levin, Hester F Lingsma, Marc Maegele, Marek Majdan, Geoffrey Manley, Jill Marsteller, Luciana Mascia, Charles McFadyen, Stefania Mondello, Virginia Newcombe, Aarno Palotie, Paul M Parizel, Wilco Peul, James Piercy, Suzanne Polinder, Louis Puybasset, Todd E Rasmussen, Rolf Rossaint, Peter Smielewski, Jeannette Soderberg, Simon J Stanworth, Murray B Stein, Nicole von Steinbuchel, William Stewart, Ewout W Steyerberg, Nino Stocchetti, Anneliese Synnot, Braden Te Ao, Olli Tenovuo, Alice Theadom, Dick Tibboel, Walter Videtta, Kevin K W Wang, W Huw Williams, Kristine Yaffe for the InTBIR Participants and Investigators
1,354 citations
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TL;DR: The authors discusses existing definitions in the field of corporate entrepreneurship, reconciles these definitions, and provides criteria for classifying and understanding the activities associated with corporate venturing, and proposes a set of criteria to classify and understand these activities.
Abstract: Although authors generally agree on the nature of entrepreneurial activities within existing firms, differences in the terminology used to describe those activities have created confusion. This article discusses existing definitions in the field of corporate entrepreneurship, reconciles these definitions, and provides criteria for classifying and understanding the activities associated with corporate venturing.
1,352 citations
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TL;DR: The authors consider the effects of the following factors on the rate of infection: length of preoperative stay, preparation of the patient for surgery, identification of patients at risk, surgical technique and choice of procedure, and acquainting staff with statistics of wound infection rates.
1,337 citations
Authors
Showing all 44775 results
Name | H-index | Papers | Citations |
---|---|---|---|
Meir J. Stampfer | 277 | 1414 | 283776 |
Zena Werb | 168 | 473 | 122629 |
William J. Sandborn | 162 | 1317 | 108564 |
Gregg C. Fonarow | 161 | 1676 | 126516 |
David W. Johnson | 160 | 2714 | 140778 |
Jerome I. Rotter | 156 | 1071 | 116296 |
Carl Nathan | 135 | 430 | 91535 |
Severine Vermeire | 134 | 1086 | 76352 |
Ian Ford | 134 | 678 | 85769 |
Jeffery D. Molkentin | 131 | 482 | 61594 |
Joseph P. Broderick | 130 | 504 | 72779 |
Shuai Liu | 129 | 1095 | 80823 |
Marcello Tonelli | 128 | 701 | 115576 |
Gary C. Curhan | 128 | 435 | 55348 |
James C. Paulson | 126 | 443 | 52152 |