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9755 results for: ‘global learning outcomes’

  • People

    people page for Brookeslab

  • COVID-19 study team recognised for outstanding impact in medical research

    A Leicester team behind a major UK study into the long-term health impacts of COVID-19 on hospitalised patients has been recognised for its outstanding impact in medical research by the Medical Research Council (MRC).

  • Nicola Mackintosh

    The academic profile of Dr Nicola Mackintosh, Professor in Social Science applied to Health at University of Leicester

  • Study into common health condition compares surgery to less invasive treatment

    Researchers from the University of Leicester have compared the effectiveness of surgery over a less invasive injection for the treatment of a common health condition

  • COPD care transformed through European consortium

    A European consortium of researchers including the University of Leicester, has developed a new decision making framework for health professionals which they hope will transform the care of patients with chronic obstructive pulmonary disease (COPD

  • Journalism MA

    In a world where journalism is evolving at the speed of technology, where facts and truth are increasingly contested, our MA Journalism offers an ambitious environment for tomorrow’s storytellers.

  • Leicester is named Daily Mail University of the Year 2025

    The University of Leicester has been crowned the Daily Mail University of the Year 2025.

  • Workspaces at the University of Leicester

    Learn more about the various workspaces available at the University of Leicester.

  • New trial could transform heart health of dialysis patients

    A new trial with the potential to transform the heart health of patients with kidney failure has today been launched by the University of Leicester, the NIHR Leicester Biomedical Research Centre (BRC) and British Heart Foundation (BHF).

  • Advanced Statistical Modelling (Part-time)

    Module code: MD7468 Generalised linear models This module will start by introducing the theory of generalized linear models (GLMs) in terms of exponential family of distributions and discussing special cases of GLMs, such as normal, Poisson or binomial regression.

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