Institution
Keele University
Education•Newcastle-under-Lyme, United Kingdom•
About: Keele University is a education organization based out in Newcastle-under-Lyme, United Kingdom. It is known for research contribution in the topics: Population & Stars. The organization has 11318 authors who have published 26323 publications receiving 894671 citations. The organization is also known as: Keele University.
Topics: Population, Stars, Health care, Context (language use), Politics
Papers published on a yearly basis
Papers
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01 Dec 2004-International Journal of Human-computer Studies \/ International Journal of Man-machine Studies
TL;DR: This paper makes seven recommendations to HCI researchers wishing to construct Fitts' law models for either movement time prediction, or for the comparison of conditions in an experiment that support the methods described in the recent ISO 9241-9 standard on the evaluation of pointing devices.
Abstract: This paper makes seven recommendations to HCI researchers wishing to construct Fitts' law models for either movement time prediction, or for the comparison of conditions in an experiment. These seven recommendations support (and in some cases supplement) the methods described in the recent ISO 9241-9 standard on the evaluation of pointing devices. In addition to improving the robustness of Fitts' law models, these recommendations (if widely employed) will improve the comparability and consistency of forthcoming publications. Arguments to support these recommendations are presented, as are concise reviews of 24 published Fitts' law models of the mouse, and 9 studies that used the new ISO standard.
893 citations
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TL;DR: In this article, the authors investigated a set of strategic decisions facing US firms and developed a simple theoretical framework in which firms choose whether or not to serve a foreign market, and if so whether by exporting, or by becoming a multinational.
889 citations
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TL;DR: Equity of access may be measured in terms of the availability, utilisation or outcomes of services, and horizontal and vertical dimensions of equity require consideration.
Abstract: Facilitating access is concerned with helping people to command appropriate health care resources in order to preserve or improve their health. Access is a complex concept and at least four aspects require evaluation. If services are available and there is an adequate supply of services, then the opportunity to obtain health care exists, and a population may 'have access' to services. The extent to which a population 'gains access' also depends on financial, organisational and social or cultural barriers that limit the utilisation of services. Thus access measured in terms of utilisation is dependent on the affordability, physical accessibility and acceptability of services and not merely adequacy of supply. Services available must be relevant and effective if the population is to 'gain access to satisfactory health outcomes'. The availability of services, and barriers to access, have to be considered in the context of the differing perspectives, health needs and material and cultural settings of diverse groups in society. Equity of access may be measured in terms of the availability, utilisation or outcomes of services. Both horizontal and vertical dimensions of equity require consideration.
873 citations
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TL;DR: This approach aims to map the neural substrates of consciousness at the level of large-scale, emergent and transient dynamical patterns of brain activity, and suggests that the processes crucial for consciousness cut across the brain-body-world divisions, rather than being brain-bound neural events.
866 citations
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TL;DR: This work presents PROBAST (Prediction model Risk Of Bias ASsessment Tool), a tool to assess the ROB and concerns regarding the applicability of diagnostic and prognostic prediction model studies, and develops the accompanying explanation and elaboration document.
Abstract: Clinical prediction models combine multiple predictors to estimate risk for the presence of a particular condition (diagnostic models) or the occurrence of a certain event in the future (prognostic models). PROBAST (Prediction model Risk Of Bias ASsessment Tool), a tool for assessing the risk of bias (ROB) and applicability of diagnostic and prognostic prediction model studies, was developed by a steering group that considered existing ROB tools and reporting guidelines. The tool was informed by a Delphi procedure involving 38 experts and was refined through piloting. PROBAST is organized into the following 4 domains: participants, predictors, outcome, and analysis. These domains contain a total of 20 signaling questions to facilitate structured judgment of ROB, which was defined to occur when shortcomings in study design, conduct, or analysis lead to systematically distorted estimates of model predictive performance. PROBAST enables a focused and transparent approach to assessing the ROB and applicability of studies that develop, validate, or update prediction models for individualized predictions. Although PROBAST was designed for systematic reviews, it can be used more generally in critical appraisal of prediction model studies. Potential users include organizations supporting decision making, researchers and clinicians who are interested in evidence-based medicine or involved in guideline development, journal editors, and manuscript reviewers.
866 citations
Authors
Showing all 11402 results
Name | H-index | Papers | Citations |
---|---|---|---|
George Davey Smith | 224 | 2540 | 248373 |
Simon D. M. White | 189 | 795 | 231645 |
James F. Wilson | 146 | 677 | 101883 |
Stephen O'Rahilly | 138 | 520 | 75686 |
Wendy Taylor | 131 | 1252 | 89457 |
Nicola Maffulli | 115 | 1570 | 59548 |
Georg Kresse | 111 | 430 | 244729 |
Patrick B. Hall | 111 | 470 | 68383 |
Peter T. Katzmarzyk | 110 | 618 | 56484 |
John F. Dovidio | 109 | 466 | 46982 |
Elizabeth H. Blackburn | 108 | 344 | 50726 |
Mary L. Phillips | 105 | 422 | 39995 |
Garry P. Nolan | 104 | 474 | 46025 |
Wayne W. Hancock | 103 | 505 | 35694 |
Mohamed H. Sayegh | 103 | 485 | 38540 |