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Institution

Lancaster University

EducationLancaster, Lancashire, United Kingdom
About: Lancaster University is a education organization based out in Lancaster, Lancashire, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 13080 authors who have published 44563 publications receiving 1692277 citations. The organization is also known as: The University of Lancaster & Lancaster University.


Papers
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Journal ArticleDOI
22 May 2020-BMJ
TL;DR: In study participants, mortality was high, independent risk factors were increasing age, male sex, and chronic comorbidity, including obesity, and the importance of pandemic preparedness and the need to maintain readiness to launch research studies in response to outbreaks is shown.
Abstract: Objective To characterise the clinical features of patients admitted to hospital with coronavirus disease 2019 (covid-19) in the United Kingdom during the growth phase of the first wave of this outbreak who were enrolled in the International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) World Health Organization (WHO) Clinical Characterisation Protocol UK (CCP-UK) study, and to explore risk factors associated with mortality in hospital. Design Prospective observational cohort study with rapid data gathering and near real time analysis. Setting 208 acute care hospitals in England, Wales, and Scotland between 6 February and 19 April 2020. A case report form developed by ISARIC and WHO was used to collect clinical data. A minimal follow-up time of two weeks (to 3 May 2020) allowed most patients to complete their hospital admission. Participants 20 133 hospital inpatients with covid-19. Main outcome measures Admission to critical care (high dependency unit or intensive care unit) and mortality in hospital. Results The median age of patients admitted to hospital with covid-19, or with a diagnosis of covid-19 made in hospital, was 73 years (interquartile range 58-82, range 0-104). More men were admitted than women (men 60%, n=12 068; women 40%, n=8065). The median duration of symptoms before admission was 4 days (interquartile range 1-8). The commonest comorbidities were chronic cardiac disease (31%, 5469/17 702), uncomplicated diabetes (21%, 3650/17 599), non-asthmatic chronic pulmonary disease (18%, 3128/17 634), and chronic kidney disease (16%, 2830/17 506); 23% (4161/18 525) had no reported major comorbidity. Overall, 41% (8199/20 133) of patients were discharged alive, 26% (5165/20 133) died, and 34% (6769/20 133) continued to receive care at the reporting date. 17% (3001/18 183) required admission to high dependency or intensive care units; of these, 28% (826/3001) were discharged alive, 32% (958/3001) died, and 41% (1217/3001) continued to receive care at the reporting date. Of those receiving mechanical ventilation, 17% (276/1658) were discharged alive, 37% (618/1658) died, and 46% (764/1658) remained in hospital. Increasing age, male sex, and comorbidities including chronic cardiac disease, non-asthmatic chronic pulmonary disease, chronic kidney disease, liver disease and obesity were associated with higher mortality in hospital. Conclusions ISARIC WHO CCP-UK is a large prospective cohort study of patients in hospital with covid-19. The study continues to enrol at the time of this report. In study participants, mortality was high, independent risk factors were increasing age, male sex, and chronic comorbidity, including obesity. This study has shown the importance of pandemic preparedness and the need to maintain readiness to launch research studies in response to outbreaks. Study registration ISRCTN66726260.

2,459 citations

Book
25 Aug 2008
TL;DR: An overview of model-based geostatistics can be found in this paper, where a generalized linear model is proposed for estimating geometrical properties of geometrically constrained data.
Abstract: An overview of model-based geostatistics.- Gaussian models for geostatistical data.- Generalized linear models for geostatistical data.- Classical parameter estimation.- Spatial prediction.- Bayesian inference.- Geostatistical design.

2,397 citations

Book
17 May 2012
TL;DR: The Dynamics of Social Practice Introducing Theories of Practice Materials and Resources Sequence and Structure Making and Breaking Links Material, Competence and Meaning Car-Driving: Elements and Linkages Making Links Breaking Links Elements Between Practices Standardization and Diversity Individual and Collective Careers The Life of Elements Modes of Circulation Transportation and Access: Material Abstraction, Reversal and Migration: Competence Association and Classification: Meaning Packing and Unpacking Emergence, Disappearance and Persistence Recruitment, Defection and Reproduction First Encounters: Careers and Carriers Collapse and Transformation
Abstract: The Dynamics of Social Practice Introducing Theories of Practice Materials and Resources Sequence and Structure Making and Breaking Links Material, Competence and Meaning Car-Driving: Elements and Linkages Making Links Breaking Links Elements Between Practices Standardization and Diversity Individual and Collective Careers The Life of Elements Modes of Circulation Transportation and Access: Material Abstraction, Reversal and Migration: Competence Association and Classification: Meaning Packing and Unpacking Emergence, Disappearance and Persistence Recruitment, Defection and Reproduction First Encounters: Networks and Communities Capture and Commitment: Careers and Carriers Collapse and Transformation: The Dynamics of Defection Daily Paths, Life Paths and Dominant Projects Connections Between Practices Bundles and Complexes Collaboration and Competition Selection and Integration Coordinating Daily Life Circuits of Reproduction Monitoring Practices-as-Performances Monitoring Practices-as-Entities Cross-Referencing Practices-as-Performances Cross-Referencing Practices-as-Entities Aggregation Elements of Coordination Intersecting Circuits Representing the Dynamics of Social Practice Representing Elements and Practices Characterizing Circulation Competition, Transformation and Convergence Reproducing Elements, Practices and Relations between Them Time and Practice Space and Practice Dominant Projects and Power Promoting Transitions in Practice Climate Change and Behaviour Change Basis of Action Processes of Change Positioning Policy Transferable Lessons Practice Theory and Climate Change Policy Configuring Elements of Practice Configuring Relations between Practices Configuring Careers: Carriers and Practices Configuring Connections Practice Oriented Policy Making

2,250 citations

Book
01 Jan 2001
TL;DR: This textbook is the first to provide a modern and unified overview of inflationary cosmology and carefully compares predictions with the latest observations, including those of the cosmic microwave background, the clustering and velocities of galaxies and the epoch of structure formation.
Abstract: This textbook provides graduate students with a thorough and up-to-date introduction to inflationary cosmology. Enormous progress has been made in this area in the last few years and this book is the first to provide a modern and unified overview. It covers all aspects of inflationary cosmology and carefully compares predictions with the latest observations, including those of the cosmic microwave background, the clustering and velocities of galaxies and the epoch of structure formation. Problems are included throughout to help the student to develop a thorough understanding. With the host of international experiments currently being performed and planned for the near future (including NASA's MAP satellite, and the European Space Agency's Planck mission), inflationary cosmology promises to be one of the most exciting and fruitful topics of research in science in the next decade. This book provides graduate students with the ideal introduction.

2,218 citations

Journal ArticleDOI
TL;DR: The Em procedure is shown to apply to general item-response models lacking simple sufficient statistics for ability, including models with more than one latent dimension, when computing procedures based on an EM algorithm are used.
Abstract: Maximum likelihood estimation of item parameters in the marginal distribution, integrating over the distribution of ability, becomes practical when computing procedures based on an EM algorithm are used By characterizing the ability distribution empirically, arbitrary assumptions about its form are avoided The Em procedure is shown to apply to general item-response models lacking simple sufficient statistics for ability This includes models with more than one latent dimension

2,137 citations


Authors

Showing all 13361 results

NameH-indexPapersCitations
David Miller2032573204840
H. S. Chen1792401178529
John Hardy1771178171694
Yang Gao1682047146301
Gavin Davies1592036149835
David Tilman158340149473
David Cameron1541586126067
A. Artamonov1501858119791
Steven Williams144137586712
Carmen García139150396925
Milos Lokajicek139151198888
S. R. Hou1391845106563
Roger Jones138998114061
Alan D. Baddeley13746789497
Pavel Shatalov136109791536
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023150
2022467
20212,620
20202,881
20192,593
20182,505