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Institution

McMaster University

EducationHamilton, Ontario, Canada
About: McMaster University is a education organization based out in Hamilton, Ontario, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 41361 authors who have published 101269 publications receiving 4251422 citations.


Papers
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Book ChapterDOI
TL;DR: The human adenoviruses, particularly types 2, 5, and 12, have been the most extensively characterized, and these viruses have served as valuable tools in the study of the molecular biology of DNA replication, transcription, RNA processing, and protein synthesis in mammalian cells.
Abstract: Adenoviruses have been isolated from a large number of different species (mammalian and fowl) and over 100 different serotypes have been reported, some 43 of them human. The human adenoviruses, particularly types 2, 5, and 12, have been the most extensively characterized, and these viruses have served as valuable tools in the study of the molecular biology of DNA replication, transcription, RNA processing, and protein synthesis in mammalian cells. Seeref. 1 for a general review.

883 citations

Journal ArticleDOI
TL;DR: It is found that glucocorticoid exposure of ≥10 mg/day is associated with a higher odds of hospitalisation and anti-TNF with a decreased odds ofospitalisation in patients with rheumatic disease.
Abstract: Objectives COVID-19 outcomes in people with rheumatic diseases remain poorly understood. The aim was to examine demographic and clinical factors associated with COVID-19 hospitalisation status in people with rheumatic disease. Methods Case series of individuals with rheumatic disease and COVID-19 from the COVID-19 Global Rheumatology Alliance registry: 24 March 2020 to 20 April 2020. Multivariable logistic regression was used to estimate ORs and 95% CIs of hospitalisation. Age, sex, smoking status, rheumatic disease diagnosis, comorbidities and rheumatic disease medications taken immediately prior to infection were analysed. Results A total of 600 cases from 40 countries were included. Nearly half of the cases were hospitalised (277, 46%) and 55 (9%) died. In multivariable-adjusted models, prednisone dose ≥10 mg/day was associated with higher odds of hospitalisation (OR 2.05, 95% CI 1.06 to 3.96). Use of conventional disease-modifying antirheumatic drug (DMARD) alone or in combination with biologics/Janus Kinase inhibitors was not associated with hospitalisation (OR 1.23, 95% CI 0.70 to 2.17 and OR 0.74, 95% CI 0.37 to 1.46, respectively). Non-steroidal anti-inflammatory drug (NSAID) use was not associated with hospitalisation status (OR 0.64, 95% CI 0.39 to 1.06). Tumour necrosis factor inhibitor (anti-TNF) use was associated with a reduced odds of hospitalisation (OR 0.40, 95% CI 0.19 to 0.81), while no association with antimalarial use (OR 0.94, 95% CI 0.57 to 1.57) was observed. Conclusions We found that glucocorticoid exposure of ≥10 mg/day is associated with a higher odds of hospitalisation and anti-TNF with a decreased odds of hospitalisation in patients with rheumatic disease. Neither exposure to DMARDs nor NSAIDs were associated with increased odds of hospitalisation.

883 citations

John Fox1
01 Jan 2004
TL;DR: The purpose of this paper is to introduce and describe the basic use of the R Commander GUI and the manner in which it can be extended.
Abstract: Unlike S-PLUS, R does not incorporate a statistical graphical user interface (GUI), but it does include tools for building GUIs. Based on the tcltk package (which furnishes an interface to the Tcl/Tk GUI builder) the Rcmdr package provides a basic-statistics graphical user interface to R called the "R Commander." The design objectives of the R Commander were as follows: to support, through an easy-to-use, extensible, cross-platform GUI, the statistical functionality required for a basic-statistics course (though its current functionality has grown to include support for linear and generalized-linear models); to make it relatively difficult to do unreasonable things; and to render visible the relationship between choices made in the GUI and the R commands that they generate. The R Commander uses a simple and familiar menu/dialog-box interface. Top-level menus include File, Edit, Data, Statistics, Graphs, Models, Distributions ,a ndHelp ,w ith the complete menu tree given in the paper. Each dialog box includes a Help button, which leads to a relevant help page. Menu and dialog-box selections generate R commands, which are recorded in a log/script window and are echoed, along with output, to an output window. The log/script window also provides the ability to edit, enter, and re-execute commands. Data sets in the R Commander are simply R data frames, and can be read from attached packages or imported from files. Although several data frames may reside in memory, only one is "active" at any given time. The purpose of this paper is to introduce and describe the basic use of the R Commander GUI and the manner in which it can be extended. Most of the paper can serve as an introductory guide for students who will use the R Commander

882 citations


Authors

Showing all 41721 results

NameH-indexPapersCitations
Salim Yusuf2311439252912
Gordon H. Guyatt2311620228631
Simon D. M. White189795231645
George Efstathiou187637156228
Stuart H. Orkin186715112182
Terrie E. Moffitt182594150609
John J.V. McMurray1781389184502
Jasvinder A. Singh1762382223370
Deborah J. Cook173907148928
Andrew P. McMahon16241590650
Jack Hirsh14673486332
Holger J. Schünemann141810113169
John A. Peacock140565125416
David Price138168793535
Graeme J. Hankey137844143373
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023168
2022521
20216,352
20205,747
20195,093
20184,604