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9731 results for: ‘global learning outcomes’

  • Andrew Dunn: Page 148

    Academic Librarian.

  • Nicola Mackintosh

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

  • 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.

  • Developing Academic and Management Skills for Healthcare

    Module code: MN7441 This module aims to equip you with the academic study tools and techniques necessary to complete your programme of studies.

  • 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.

  • 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.

  • Senate regulation 11, Appendix 2: Case management protocol

    .

  • Midlands Racial Equality in Medicine Conference 2023

    Midlands Racial Equality in Medicine Network Conference 2023 information and registration links

  • Student Compensation and Refund Policy

    How decisions regarding tuition fees, other course costs, accommodation costs, sports memberships and other relevant costs are compensated or refunded.

  • Media, Culture and Society MA

    This is for you if... you are interested in studying media, communication and sociology at an advanced level and learning from some of the leading researchers in this academic field.

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