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  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • News and events

    The latest news from the AIDAIM Centre.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Linear Statistical Models

    Module code: MA2261 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Statistics for Data Science

    Module code: MA7023 The most important method in statistical analysis is the natural extension of simple linear regression models to include several explanatory variables, thus giving general linear models.

  • Leading University heart professor recognised as top global researcher

    The “valuable and significant” work of a University heart professor has won him recognition as one of the world’s most influential scientists.

  • About

    “How can you be a medical leader when you’ve just started working as a doctor?” That’s the question that we’re trying to answer at Medical Leadership in the Foundations – the blog curated by the University of Leicester’s Honorary Fellows in Leadership and Management.

  • Charter

    The Charter is the University's principal governing document. It provides a high level, overarching statement of the University's founding purpose and constitution.

  • Mars Science Laboratory Blog: Academic and staff blogs from the University of Leicester: Page 2

    Academic and staff blogs from the University of Leicester

  • Physics BSc

    Matter and energy. Waves and fields. Relativity and mechanics. In this degree, you’ll be studying the most fundamental of the sciences: physics.

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