118,625 research outputs found

    Multi-state Modeling of thr Hospitalizations Process of Patients affected by Chronic Heart Failure

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    In chronic diseases like Heart Failure (HF), often more than one type of event plays a role and more than one outcome has to be considered for a proper modeling of the disease progression. Accounting jointly for outcomes and events provides more detailed information on the disease-control process, and allows for a more precise understanding of the prognosis of patients, enabling people in charge of healthcare planning to assess and predict more accurately the impact and the costs of the disease of interest. We propose the use of two different multi-state models for the joint analysis of outcomes and events related to HF-patients, whose data come from the administrative databank of an Italian regional district (Lombardia). The aim is to point out a flexible approach that is able to catch important features of disease progression, such as multiple ordered events and distinction between the clinical events of death and hospitalizations, accommodating for competing risks

    Multi-state modelling of repeated hospitalisation and death in patients with heart failure: The use of large administrative databases in clinical epidemiology.

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    In chronic diseases like heart failure (HF), the disease course and associated clinical event histories for the patient population vary widely. To improve understanding of the prognosis of patients and enable health care providers to assess and manage resources, we wish to jointly model disease progression, mortality and their relation with patient characteristics. We show how episodes of hospitalisation for disease-related events, obtained from administrative data, can be used as a surrogate for disease status. We propose flexible multi-state models for serial hospital admissions and death in HF patients, that are able to accommodate important features of disease progression, such as multiple ordered events and competing risks. Fully parametric and semi-parametric semi-Markov models are implemented using freely available software in R. The models were applied to a dataset from the administrative data bank of the Lombardia region in Northern Italy, which included 15,298 patients who had a first hospitalisation ending in 2006 and 4 years of follow-up thereafter. This provided estimates of the associations of age and gender with rates of hospital admission and length of stay in hospital, and estimates of the expected total time spent in hospital over five years. For example, older patients and men were readmitted more frequently, though the total time in hospital was roughly constant with age. We also discuss the relative merits of parametric and semi-parametric multi-state models, and model assessment and comparison

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Designing a semantic sketchbook to create opportunities for serendipity

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    Serendipity is where unexpected circumstances and an insightful 'aha' moment result in a valuable outcome. We discuss how interactive systems can support the process of serendipity: from making new connections, to projecting and exploiting their potential value. We focus in particular on how technology can support reflection -- which is an important part of the serendipity process. By considering findings from a set of empirical studies and a set of design principles aimed at encouraging reflection, we present an early stage digital 'Semantic Sketchbook' which was designed with the aim of supporting reflection (as well as other aspects of the process of serendipity). We discuss how our 'Semantic Sketchbook' has the potential to create opportunities for serendipity and the next steps we intend to take in developing it and evaluating its success

    Square Dancing with the Stars to Enhance Dynamic Hirschman Linkages?

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    In this Presidential Address, the author takes the reader on a reconnaissance of his life and time as a regional scientist. He points out scenery he found scintillating along the way, hoping that some may pick up the banner and chew on a few of the ideas for a while. He suggests a revisit to Albert O. Hirschman’s notion of key sectors and more empirical analysis related to Marcus Berliant’s and Masahisa Fujita’s notion of knowledge creation and transfer.Presidential Address, San Antonio, Texas, March 29, 2014 (53rd Meetings of the Southern Regional Science Association

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Letter from unknown writer to Jesse L. Boyce

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    Letter to Jesse L. Boyce from unknown author (possibly Jack) about the investigation into the powder magazine located in the Grand Canyon. Some personal news is included in the letter such as the writer's marriage to the daughter of C.A. Taylor, former Supervisor of Cochise County

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Sarah L. Blum Author Visit - Warrior Nurse: PTSD and Healing

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    Hear Sarah L. Blum, author of Women Under Fire: Abuse in the Military, discuss her newest book, Warrior Nurse: PTSD and Healing followed by a Q&A and book signing. Sarah L. Blum is a decorated Vietnam veteran who served as an operating room nurse during the intense fighting of 1967. In recognition of her service, she was awarded the Army Commendation Medal. Sponsored by CWU Veterans Center and CWU Libraries.https://digitalcommons.cwu.edu/libraryevents/1252/thumbnail.jp

    Why the inflation in legislation on women’s bodies

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    This dissertation argues that historical patriarchal theories have crept into the world’s legal systems to date, and as a result this has led to inflation in legislation upon women’s bodies. The author seeks to prove that patriarchal theories have become part of our social and legal institutions to date, resulting in unnecessary controls placed upon women’s bodies to the point that, women’s attempt to assert autonomy over their own bodies have been criminalised or placed under heavy civil penalties. The author suggests that this has been particularly so because, women have been relegated to the private sphere and as such, are underrepresented within the legislature, political arenas, the process passing legislation and the legal profession in general. As well as analysing the structure of the various social, legal and political institutions as they relate to the causes of inflation in legislation upon women’s bodies, the author investigates the medicalisation of women’s bodies which has led to over legislation with regards to: legislation and women’s attire, Indecent exposure and the breast, the treatment of military women with regards to their bodily autonomy and pregnancy
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